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Ayyadevara K. Modern Computer Vision with PyTorch...fundamentals...2ed 2024

  • Code.zip 155.0 MB
  • Ayyadevara K. Modern Computer Vision with PyTorch...fundamentals...2ed 2024.pdf 78.6 MB
  • ColorImages.pdf 31.1 MB
  • Readme.txt 957 Bytes
[磁力链接] 添加时间:2024-07-21 大小:264.8 MB 最近下载:2025-11-04 热度:5695

[ DevCourseWeb.com ] Udemy - Generative Adversarial Network (GAN) from scratch PyTorch

  • ~Get Your Files Here !/6. CycleGAN from Scratch with PyTorch/1. CycleGAN from Scratch with PyTorch.mp4 835.4 MB
  • ~Get Your Files Here !/9. WGAN with Gradient_Penalty from Scratch with PyTorch/2. Full Implementation WGAN with Gradient_Penalty from Scratch with PyTorch.mp4 555.0 MB
  • ~Get Your Files Here !/3. DCGAN from Scratch with TensorFlow - Generate fake Faces from CelebA Dataset/2. 2-Full Implementations - DCGAN from Scratch With TensforFlow CelebA_Dataset.mp4 492.5 MB
  • ~Get Your Files Here !/2. BiCycleGAN from Scratch with PyTorch/2. Full Implementation - BiCycleGAN from Scratch with PyTorch.mp4 478.5 MB
  • ~Get Your Files Here !/4. DCGAN From Scratch with PyTorch/1. DCGAN From Scratch with PyTorch.mp4 335.8 MB
  • ~Get Your Files Here !/1. Conditional GAN From Scratch with PyTorch/2. Full Implementation - Conditional GAN From Scratch with PyTorch.mp4 326.4 MB
  • ~Get Your Files Here !/5. CycleGAN Paper Architecture Explanations/1. CycleGAN Paper Architecture Explanations.mp4 309.2 MB
  • ~Get Your Files Here !/3. DCGAN from Scratch with TensorFlow - Generate fake Faces from CelebA Dataset/3. 3 Conv2dTranspose Explanations for DCGAN's Generator Function Filter-Kernel_Size.mp4 279.0 MB
  • ~Get Your Files Here !/8. WGAN Without Gradient Penalty from Scratch with PyTorch/1. WGAN Without Gradient Penalty from Scratch with PyTorch.mp4 250.2 MB
  • ~Get Your Files Here !/7. WGAN Architecture Paper Explanation/1. WGAN Architecture Paper Explanation.mp4 123.1 MB
  • ~Get Your Files Here !/3. DCGAN from Scratch with TensorFlow - Generate fake Faces from CelebA Dataset/1. 1-Introduction DCGAN with TensorFlow.mp4 27.0 MB
  • ~Get Your Files Here !/9. WGAN with Gradient_Penalty from Scratch with PyTorch/1. Introduction WGAN with Gradient_Penalty from Scratch with PyTorch.mp4 10.7 MB
  • ~Get Your Files Here !/1. Conditional GAN From Scratch with PyTorch/1. Conditional GAN Introduction - from Scratch with PyTorch.mp4 5.1 MB
  • ~Get Your Files Here !/2. BiCycleGAN from Scratch with PyTorch/1. Introduction BiCycleGAN from Scratch with PyTorch.mp4 4.0 MB
  • ~Get Your Files Here !/6. CycleGAN from Scratch with PyTorch/1.1 CycleGAN_From_Scratch_PyTorch_FINAL_Entire_NB.ipynb 2.0 MB
  • ~Get Your Files Here !/9. WGAN with Gradient_Penalty from Scratch with PyTorch/SOURCE-CODE-ALL-FILES/CODE_CycleGAN_From_Scratch_PyTorch/CycleGAN_From_Scratch_PyTorch_FINAL_Entire_NB.ipynb 2.0 MB
  • ~Get Your Files Here !/3. DCGAN from Scratch with TensorFlow - Generate fake Faces from CelebA Dataset/2.1 DCGAN_with_Tensorflow_Keras_Celeb_A_Dataset.ipynb 177.3 kB
  • ~Get Your Files Here !/9. WGAN with Gradient_Penalty from Scratch with PyTorch/SOURCE-CODE-ALL-FILES/CODE-DCGAN from Scratch with TensorFlow - Generate fake Faces from CelebA Dataset/DCGAN_with_Tensorflow_Keras_Celeb_A_Dataset.ipynb 177.3 kB
  • ~Get Your Files Here !/6. CycleGAN from Scratch with PyTorch/1. CycleGAN from Scratch with PyTorch.srt 137.3 kB
  • ~Get Your Files Here !/9. WGAN with Gradient_Penalty from Scratch with PyTorch/2. Full Implementation WGAN with Gradient_Penalty from Scratch with PyTorch.srt 103.4 kB
[磁力链接] 添加时间:2024-07-24 大小:4.0 GB 最近下载:2025-11-04 热度:2217

[FreeCourseSite.com] Udemy - PyTorch for Deep Learning in 2023 Zero to Mastery

  • 5. PyTorch Computer Vision/22. Model 2 Coding Our First Convolutional Neural Network with PyTorch.mp4 218.5 MB
  • 10. PyTorch Paper Replicating/37. Bringing Our Own Vision Transformer to Life - Part 1 Gathering the Pieces.mp4 200.1 MB
  • 10. PyTorch Paper Replicating/36. Creating a Transformer Encoder Layer with In-Built PyTorch Layer.mp4 197.9 MB
  • 11. PyTorch Model Deployment/23. Creating a Function to Make and Time Predictions with Our Models.mp4 194.8 MB
  • 11. PyTorch Model Deployment/49. Training Food Vision Big Our Biggest Model Yet!.mp4 193.2 MB
  • 3. PyTorch Workflow/15. Reviewing the Steps in a Training Loop Step by Step.mp4 186.1 MB
  • 6. PyTorch Custom Datasets/14. Writing a PyTorch Custom Dataset Class from Scratch to Load Our Images.mp4 184.8 MB
  • 5. PyTorch Computer Vision/25. Mode 2 Using a Trick to Find the Input and Output Shapes of Each of Our Layers.mp4 183.3 MB
  • 10. PyTorch Paper Replicating/23. Creating the Patch Embedding Layer with PyTorch.mp4 178.3 MB
  • 6. PyTorch Custom Datasets/18. Exploring State of the Art Data Augmentation With Torchvision Transforms.mp4 174.4 MB
  • 7. PyTorch Going Modular/9. Creating a Training Script to Train Our Model in One Line of Code.mp4 173.6 MB
  • 10. PyTorch Paper Replicating/44. Getting a Pretrained Vision Transformer from Torchvision and Setting it Up.mp4 172.8 MB
  • 10. PyTorch Paper Replicating/30. Turning Equation 2 into Code.mp4 171.8 MB
  • 5. PyTorch Computer Vision/23. Model 2 Breaking Down Conv2D Step by Step.mp4 170.6 MB
  • 11. PyTorch Model Deployment/56. Deploying Food Vision Big to Hugging Face Spaces.mp4 170.4 MB
  • 3. PyTorch Workflow/18. Reviewing What Happens in a Testing Loop Step by Step.mp4 169.4 MB
  • 4. PyTorch Neural Network Classification/10. Loss Function Optimizer and Evaluation Function for Our Classification Network.mp4 168.9 MB
  • 5. PyTorch Computer Vision/31. Making Predictions and Importing Libraries to Plot a Confusion Matrix.mp4 168.6 MB
  • 8. PyTorch Transfer Learning/12. Freezing the Base Layers of Our Model and Updating the Classifier Head.mp4 168.5 MB
  • 10. PyTorch Paper Replicating/16. Calculating the Input and Output Shape of the Embedding Layer by Hand.mp4 168.4 MB
[磁力链接] 添加时间:2023-12-17 大小:31.9 GB 最近下载:2025-11-04 热度:15626

PyTorch for Deep Learning

  • lesson252.mp4 144.4 MB
  • lesson1.mp4 137.5 MB
  • lesson187.mp4 125.5 MB
  • lesson99.mp4 122.9 MB
  • lesson253.mp4 122.5 MB
  • lesson246.mp4 122.0 MB
  • lesson289.mp4 121.1 MB
  • lesson116.mp4 120.0 MB
  • lesson227.mp4 119.7 MB
  • lesson119.mp4 113.6 MB
  • lesson210.mp4 111.6 MB
  • lesson260.mp4 110.0 MB
  • lesson232.mp4 108.9 MB
  • lesson72.mp4 108.3 MB
  • lesson315.mp4 107.1 MB
  • lesson52.mp4 104.3 MB
  • lesson169.mp4 103.3 MB
  • lesson201.mp4 103.1 MB
  • lesson239.mp4 102.9 MB
  • lesson117.mp4 99.9 MB
[磁力链接] 添加时间:2024-03-08 大小:17.1 GB 最近下载:2025-11-04 热度:2061

[CourseClub.Me] ZeroToMastery - PyTorch for Deep Learning

  • lesson252.mp4 144.4 MB
  • lesson1.mp4 137.5 MB
  • lesson187.mp4 125.5 MB
  • lesson99.mp4 122.9 MB
  • lesson253.mp4 122.5 MB
  • lesson246.mp4 122.0 MB
  • lesson289.mp4 121.1 MB
  • lesson116.mp4 120.0 MB
  • lesson227.mp4 119.7 MB
  • lesson119.mp4 113.6 MB
  • lesson210.mp4 111.6 MB
  • lesson260.mp4 110.0 MB
  • lesson232.mp4 108.9 MB
  • lesson72.mp4 108.3 MB
  • lesson315.mp4 107.1 MB
  • lesson52.mp4 104.3 MB
  • lesson169.mp4 103.3 MB
  • lesson201.mp4 103.1 MB
  • lesson239.mp4 102.9 MB
  • lesson117.mp4 99.9 MB
[磁力链接] 添加时间:2023-12-21 大小:17.1 GB 最近下载:2025-11-04 热度:2698

[ FreeCourseWeb.com ] Packt - Hands-On TensorBoard for PyTorch Developers.zip

  • [ FreeCourseWeb.com ] Packt - Hands-On TensorBoard for PyTorch Developers.zip 443.8 MB
[磁力链接] 添加时间:2021-05-13 大小:443.8 MB 最近下载:2025-11-04 热度:1566

Deep Learning and Neural Networks in PyTorch for Beginners [Video]

  • 1.We got a lot to do - let's get into it!/12.12 Congratulation.mp4 89.0 MB
  • 1.We got a lot to do - let's get into it!/02.2 How to install pytorch.mp4 3.5 MB
  • 1.We got a lot to do - let's get into it!/03.3 The fundamentals.mp4 18.9 MB
  • 1.We got a lot to do - let's get into it!/04.4 understanding gradient descent.mp4 42.0 MB
  • 1.We got a lot to do - let's get into it!/05.5 transition to pytorch.mp4 26.3 MB
  • 1.We got a lot to do - let's get into it!/06.6 linear regression in pytorch.mp4 45.5 MB
  • 1.We got a lot to do - let's get into it!/07.7 A deep Neural Network in Pytorch 5.mp4 51.1 MB
  • 1.We got a lot to do - let's get into it!/08.8 Convolutional Neural Networks basics.mp4 12.6 MB
  • 1.We got a lot to do - let's get into it!/09.9 Convolutional Neural Networks in pytorch 1.mp4 18.1 MB
  • 1.We got a lot to do - let's get into it!/10.10 Convolutional Neural Networks CNN in pytorch 2.mp4 35.6 MB
  • 1.We got a lot to do - let's get into it!/11.11 Convolutional Neural Networks CNN in pytorch 3 Final Test.mp4 36.3 MB
  • 1.We got a lot to do - let's get into it!/01.1 Why taking this course Because....mp4 11.1 MB
  • Exercise Files/code_33915.zip 14.0 kB
[磁力链接] 添加时间:2018-07-26 大小:390.2 MB 最近下载:2025-11-04 热度:4242

Modern Computer Vision PyTorch, Tensorflow2 Keras and OpenCV4__2022-02udemy

  • 02 Download Code and Setup Colab/1 Modern Computer Vision__2022-02-25.7z 120.8 MB
  • 16 Visualizing What CNN's Learn/6 Filter and Class Maximization.mkv 3.4 MB
  • 18 Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/2 Loading Pre-Trained Networks in PyTorch (ResNets, DenseNets, MobileNET, VGG19).mkv 3.2 MB
  • 09 OpenCV Projects/06 Neural Style Transfer with OpenCV.mkv 2.9 MB
  • 26 Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/5 DeepFace - Age, Gender, Emotion, Ethnicity and Face Recognition.mkv 2.7 MB
  • 18 Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/1 Implementing LeNet and AlexNet in Keras.mkv 2.7 MB
  • 04 OpenCV - Image Segmentation/2 Moments, Sorting, Approximating and Matching Contours.mkv 2.7 MB
  • 22 Google DeepStream and Neural Style Transfer/5 Neural Style Transfer in Keras.mkv 2.7 MB
  • 21 Transfer Learning and Fine Tuning/4 Keras Feature Extraction.mkv 2.5 MB
  • 04 OpenCV - Image Segmentation/1 Contours - Drawing, Hierarchy and Modes.mkv 2.4 MB
  • 09 OpenCV Projects/03 OCR with PyTesseract and EasyOCR (Text Detection).mkv 2.4 MB
  • 29 Gun Detector - Scaled-YOLOv4/1 Gun Detector - Scaled-YOLOv4.mkv 2.4 MB
  • 18 Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/3 Loading Pre-Trained Networks in Keras (ResNets, DenseNets, MobileNET, VGG19).mkv 2.4 MB
  • 19 Using Callbacks in Keras and PyTorch/2 Cats vs Dogs Classifier Using Callbacks in PyTorch.mkv 2.3 MB
  • 24 Generative Adversarial Networks (GANs)/5 Keras DCGAN with MNIST.mkv 2.2 MB
  • 19 Using Callbacks in Keras and PyTorch/3 Cats vs Dogs Classifier Using Callbacks in Keras.mkv 2.2 MB
  • 21 Transfer Learning and Fine Tuning/5 PyTorch Fine Tuning.mkv 2.2 MB
  • 03 OpenCV - Image Operations/09 Thresholding, Binarization and Adaptive Thresholding.mkv 2.2 MB
  • 16 Visualizing What CNN's Learn/3 Keras Filter Visualization and Activations.mkv 2.1 MB
  • 03 OpenCV - Image Operations/06 Scaling, Re-sizing, Interpolations and Cropping.mkv 2.1 MB
[磁力链接] 添加时间:2023-12-17 大小:385.9 MB 最近下载:2025-11-04 热度:4766

Getting Started with NLP Deep Learning Using PyTorch and fastai (Gianni Rosa Gallina, 2019)

  • exercise.7z 663.6 MB
  • 4. Building a TextTopic Classifier with Transfer Learning/2. Preparing the Data.mp4 26.2 MB
  • 3. Setting up a Development Environment/2. Set up a Dev Environment for fastai 1.0.mp4 23.9 MB
  • 4. Building a TextTopic Classifier with Transfer Learning/6. Training a Document Classifier with Transfer Learning.mp4 19.1 MB
  • 4. Building a TextTopic Classifier with Transfer Learning/3. Introduction to Language Models.mp4 17.9 MB
  • 4. Building a TextTopic Classifier with Transfer Learning/7. Discussing the Results and Summary.mp4 15.3 MB
  • 4. Building a TextTopic Classifier with Transfer Learning/5. Finalizing Language Model Tuning and Testing.mp4 13.4 MB
  • 4. Building a TextTopic Classifier with Transfer Learning/4. Language Model Fine-tuning.mp4 13.0 MB
  • 6. Going from Prototype to Production/1. Introduction and Dev Environment Setup.mp4 11.6 MB
  • 5. Using Deep Learning for NLP/10. Batch Data Loading.mp4 10.9 MB
  • 7. Building a Custom Language Model from Scratch/2. Getting the Data.mp4 10.7 MB
  • 6. Going from Prototype to Production/7. Deploy the Production Image.mp4 10.3 MB
  • 4. Building a TextTopic Classifier with Transfer Learning/1. Module Overview.mp4 10.1 MB
  • 6. Going from Prototype to Production/3. Scoring Script for Local Test.mp4 9.9 MB
  • 7. Building a Custom Language Model from Scratch/3. Text Pre-processing.mp4 9.3 MB
  • 5. Using Deep Learning for NLP/03. Introduction to ULMFiT.mp4 9.1 MB
  • 5. Using Deep Learning for NLP/09. Text Pre-processing.mp4 8.3 MB
  • 3. Setting up a Development Environment/3. Other Dev Environment Options.mp4 6.7 MB
  • 5. Using Deep Learning for NLP/06. AWD-LSTM Language Model.mp4 6.3 MB
  • 2. Exploring the fastai Library/2. Introducing the fastai Library.mp4 6.0 MB
[磁力链接] 添加时间:2024-06-02 大小:991.4 MB 最近下载:2025-11-04 热度:3790

[ FreeCourseWeb.com ] Udemy - Deep Learning - Computer Vision Beginner to Advanced Pytorch.zip

  • [ FreeCourseWeb.com ] Udemy - Deep Learning - Computer Vision Beginner to Advanced Pytorch.zip 2.6 GB
[磁力链接] 添加时间:2021-03-21 大小:2.6 GB 最近下载:2025-11-03 热度:1449

[FreeCoursesOnline.Me] [Packt] PyTorch Deep Learning in 7 Days [FCO]

  • 02.Building a Neural Network/0205.Building a Network with nn.Module.mp4 143.9 MB
  • 01.Getting started with PyTorch/0104.Tensors and Basic Tensor Operations.mp4 135.4 MB
  • 03.Regression and Classification/0304.Loading Structured Data for Regression.mp4 112.3 MB
  • 03.Regression and Classification/0301.Loading Structured Data for Classification.mp4 102.1 MB
  • 02.Building a Neural Network/0202.Creating a Neural Network with PyTorch Sequential.mp4 84.3 MB
  • 03.Regression and Classification/0302.Preprocessing Data.mp4 84.1 MB
  • 03.Regression and Classification/0305.Neural Networks for Regression.mp4 78.6 MB
  • 02.Building a Neural Network/0203.Activations, Loss Functions, and Gradients.mp4 77.3 MB
  • 02.Building a Neural Network/0204.Forward and Backward Passes.mp4 73.1 MB
  • 07.Deep Convolutional Generative Adversarial Networks/0704.Improving Performance.mp4 39.8 MB
  • 07.Deep Convolutional Generative Adversarial Networks/0703.Training and Evaluating DCGAN on an Image Dataset.mp4 34.6 MB
  • 01.Getting started with PyTorch/0102.Quick Intro to PyTorch.mp4 33.3 MB
  • 01.Getting started with PyTorch/0105.Advanced Tensor Operations.mp4 28.0 MB
  • 06.LSTM and Embedding for Natural Language Models/0604.Sentiment Analysis with Word Embeddings.mp4 27.0 MB
  • 05.Implementing Transfer Learning/0504.Transfer Learning with ResNet.mp4 25.6 MB
  • 01.Getting started with PyTorch/0101.The Course overview.mp4 24.7 MB
  • 03.Regression and Classification/0303.Classification, Accuracy, and the Confusion Matrix.mp4 19.2 MB
  • 07.Deep Convolutional Generative Adversarial Networks/0701.Introduction to GANs and DCGANs.mp4 19.2 MB
  • 07.Deep Convolutional Generative Adversarial Networks/0705.Assignment.mp4 19.1 MB
  • 06.LSTM and Embedding for Natural Language Models/0603.Sentiment Analysis with Bag-of-Words.mp4 16.8 MB
[磁力链接] 添加时间:2021-03-11 大小:1.4 GB 最近下载:2025-11-03 热度:3654

Formacao.Deep.Learning.com.Pytorch

  • 05. Redes Neurais Convolucionais - Deep Learning com PyTorch/02. Convolução 1D/02 - Aplicação com Scipy.mp4 112.6 MB
  • 02. Redes Neurais - Deep Learning com PyTorch/04. Funções de Ativação/03 - Ativações no PyTorch.mp4 107.1 MB
  • 02. Redes Neurais - Deep Learning com PyTorch/02. Tensores/02 - Tensores.mp4 106.5 MB
  • 05. Redes Neurais Convolucionais - Deep Learning com PyTorch/06. Estratégias de Treino/04 - Fluxo de treinamento.mp4 97.3 MB
  • 05. Redes Neurais Convolucionais - Deep Learning com PyTorch/01. Conceitos Gerais/08 - Detecção e Segmentação.mp4 95.4 MB
  • 05. Redes Neurais Convolucionais - Deep Learning com PyTorch/03. Convolução 2D/03 - Filtros Convolucionais.mp4 94.5 MB
  • 06. Redes Neurais Recorrentes - Deep Learning com Pytorch/05. Sequências de Tamanho Variável/05 - Sequências empacotadas.mp4 93.8 MB
  • 04. Treinando uma Rede Neural - Deep Learning com PyTorch/05. Datasets e Fluxo de Validação/03 - Fluxo de Validação.mp4 92.9 MB
  • 04. Treinando uma Rede Neural - Deep Learning com PyTorch/04. DataLoader e Fluxo de Treinamento/03 - Datasets no Pytorch.mp4 90.1 MB
  • 04. Treinando uma Rede Neural - Deep Learning com PyTorch/05. Datasets e Fluxo de Validação/02 - Datasets Customizados.mp4 88.7 MB
  • 05. Redes Neurais Convolucionais - Deep Learning com PyTorch/06. Estratégias de Treino/05 - Extração de características.mp4 88.5 MB
  • 02. Redes Neurais - Deep Learning com PyTorch/05. Redes Neurais/03 - Múltiplas Camadas de Perceptron.mp4 86.8 MB
  • 02. Redes Neurais - Deep Learning com PyTorch/03. Perceptron/03 - Classificação Linear.mp4 83.6 MB
  • 05. Redes Neurais Convolucionais - Deep Learning com PyTorch/06. Estratégias de Treino/01 - CNN do zero em PyTorch.mp4 80.5 MB
  • 06. Redes Neurais Recorrentes - Deep Learning com Pytorch/05. Sequências de Tamanho Variável/03 - Representação do Dado.mp4 78.6 MB
  • 05. Redes Neurais Convolucionais - Deep Learning com PyTorch/04. Camada Convolucional no PyTorch/04 - Implementando em PyTorch.mp4 78.4 MB
  • 02. Redes Neurais - Deep Learning com PyTorch/03. Perceptron/02 - Classificação Linear.mp4 74.5 MB
  • 02. Redes Neurais - Deep Learning com PyTorch/01. História das Redes Neurais/02 - História das Redes Neurais.mp4 73.3 MB
  • 05. Redes Neurais Convolucionais - Deep Learning com PyTorch/03. Convolução 2D/02 - Aplicação com Scipy.mp4 72.7 MB
  • 05. Redes Neurais Convolucionais - Deep Learning com PyTorch/06. Estratégias de Treino/06 - Fine-tuning.mp4 71.8 MB
[磁力链接] 添加时间:2023-12-18 大小:4.3 GB 最近下载:2025-11-03 热度:2436

[Udemy] Ускоренный курс PyTorch (2021)

  • 5. Градиентный спуск вручную.mp4 268.3 MB
  • 7. Пакетное обучение.mp4 220.4 MB
  • 6. Пайплайн.mp4 181.9 MB
  • 3. Градиент.mp4 181.6 MB
  • 2. Тензор.mp4 27.0 MB
  • 1. Установка, проверка фреймворка.mp4 16.2 MB
  • 4. Обратное распространение ошибки.mp4 11.8 MB
  • Доп Ускоренный курс PyTorch/tensor.ipynb 22.1 kB
  • Доп Ускоренный курс PyTorch/wine.csv 11.2 kB
  • Доп Ускоренный курс PyTorch/batch-learning.ipynb 5.9 kB
  • Доп Ускоренный курс PyTorch/gradient.ipynb 5.9 kB
  • Доп Ускоренный курс PyTorch/gradient-descent-manual.ipynb 5.4 kB
  • Доп Ускоренный курс PyTorch/gradient-descent-automatic.ipynb 4.5 kB
  • Доп Ускоренный курс PyTorch/pipeline.ipynb 3.0 kB
  • Доп Ускоренный курс PyTorch/installation.ipynb 1.5 kB
  • Доп Ускоренный курс PyTorch/Ссылка.txt 42 Bytes
[磁力链接] 添加时间:2022-01-12 大小:907.2 MB 最近下载:2025-11-03 热度:5876

[FreeCourseSite.com] Udemy - Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4

  • 16. Visualizing What CNN's Learn/6. Filter and Class Maximization.mp4 163.6 MB
  • 18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/2. Loading Pre-trained Networks in PyTorch (ResNets, DenseNets, MobileNET, VGG19).mp4 161.2 MB
  • 2. Download Code and Setup Colab/1.1 Code - Modern Computer Vision_05_06_2022.zip 158.3 MB
  • 9. OpenCV Projects/6. Neural Style Transfer with OpenCV.mp4 150.0 MB
  • 22. Google DeepStream and Neural Style Transfer/5. Neural Style Transfer in Keras.mp4 147.9 MB
  • 4. OpenCV - Image Segmentation/2. Moments, Sorting, Approximating and Matching Contours.mp4 146.6 MB
  • 18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/1. Implementing LeNet and AlexNet in Keras.mp4 146.1 MB
  • 26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/5. DeepFace - Age, Gender, Emotion, Ethnicity and Face Recognition.mp4 138.8 MB
  • 21. Transfer Learning and Fine Tuning/4. Keras Feature Extraction.mp4 138.2 MB
  • 29. Gun Detector - Scaled-YoloV4/1. Gun Detector - Scaled-YoloV4.mp4 134.7 MB
  • 21. Transfer Learning and Fine Tuning/5. PyTorch Fine Tuning.mp4 127.5 MB
  • 2. Download Code and Setup Colab/1.2 ebook slides - Modern Computer Vision.pdf 127.5 MB
  • 9. OpenCV Projects/3. OCR with PyTesseract and EasyOCR (Text Detection).mp4 125.3 MB
  • 3. OpenCV - Image Operations/9. Thresholding, Binarization & Adaptive Thresholding.mp4 122.9 MB
  • 4. OpenCV - Image Segmentation/1. Contours - Drawing, Hierarchy and Modes.mp4 122.8 MB
  • 19. Using Callbacks in Keras and PyTorch/2. Cats vs Dogs Classifier using Callbacks in PyTorch.mp4 120.6 MB
  • 3. OpenCV - Image Operations/6. Scaling, Re-sizing, Interpolations and Cropping.mp4 120.5 MB
  • 19. Using Callbacks in Keras and PyTorch/3. Cats vs Dogs Classifier using Callbacks in Keras.mp4 120.3 MB
  • 18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/3. Loading Pre-trained Networks in Keras (ResNets, DenseNets, MobileNET, VGG19).mp4 116.8 MB
  • 5. OpenCV - Haar Cascade Classifiers/1. Face and Eye Detection with Haar Cascade Classifiers.mp4 115.6 MB
[磁力链接] 添加时间:2024-01-02 大小:13.7 GB 最近下载:2025-11-03 热度:8568

[FCSNEW.NET] Udemy - Practical Deep Learning Master PyTorch in 15 Days

  • 11. Day 13 & 14 Transfer Learning with ResNet for Tire Quality Prediction/2. good.zip 946.5 MB
  • 11. Day 13 & 14 Transfer Learning with ResNet for Tire Quality Prediction/2. defective.zip 916.0 MB
  • 11. Day 13 & 14 Transfer Learning with ResNet for Tire Quality Prediction/13. Part 4 Evaluating Model Performance and Addressing Overfitting.mp4 311.6 MB
  • 09. Day 9 & 10 Neural Network for Multi-Class Classification Handwritten Digits/20. Demonstrating Overfitting in Neural Network Training.mp4 306.9 MB
  • 04. Day 3 & 4 Single Neuron Regression Predicting Used Car Prices with PyTorch/6. Investigating Key Data Relationships for Model Training.mp4 275.4 MB
  • 11. Day 13 & 14 Transfer Learning with ResNet for Tire Quality Prediction/19. Using the Trained Model to Predict Tire Quality.mp4 261.2 MB
  • 11. Day 13 & 14 Transfer Learning with ResNet for Tire Quality Prediction/5. Using ResNet-50 to Classify an Image of a Cat.mp4 259.4 MB
  • 10. Day 11 & 12 Convolutional Networks Fashion Item Classification (multi-class)/28. Optional extra Application of Overfitting Detection and Model Finalization.mp4 253.7 MB
  • 05. Day 5 & 6 Neuron Classifier Spam Detection in SMS/12. Evaluating Model with Key Performance Metrics.mp4 247.5 MB
  • 04. Day 3 & 4 Single Neuron Regression Predicting Used Car Prices with PyTorch/5. Exploring the Used Car Dataset with Pandas.mp4 242.3 MB
  • 05. Day 5 & 6 Neuron Classifier Spam Detection in SMS/15. Implementing Training and Validation Data Splits in Python.mp4 231.1 MB
  • 11. Day 13 & 14 Transfer Learning with ResNet for Tire Quality Prediction/16. Integrating Data Augmentation into Model Training for Improved Accuracy.mp4 226.5 MB
  • 09. Day 9 & 10 Neural Network for Multi-Class Classification Handwritten Digits/23. Optional extra Applying a Neural Network to Custom Images.mp4 224.2 MB
  • 03. Day 2 Neuron Training From Adjusting Parameters to Batch Learning/8. Training a Neuron 1 Preparing and Optimizing.mp4 223.7 MB
  • 07. Day 7 & 8 Neural Network Classifier Student Exam Results Prediction/8. Optional Applying a Single Neuron to Student Exam Data.mp4 222.6 MB
  • 11. Day 13 & 14 Transfer Learning with ResNet for Tire Quality Prediction/7. Optional extra Exploring the ResNet Research Paper.mp4 220.4 MB
  • 07. Day 7 & 8 Neural Network Classifier Student Exam Results Prediction/9. Building and Training Our First Neural Network.mp4 218.5 MB
  • 02. Day 1 Foundations of Neural Networks From Models and Neurons to Tensors/14. The dtype of a Tensor.mp4 214.9 MB
  • 05. Day 5 & 6 Neuron Classifier Spam Detection in SMS/19. Optional extra Generating Embeddings with BART for Spam Detection.mp4 214.1 MB
  • 09. Day 9 & 10 Neural Network for Multi-Class Classification Handwritten Digits/13. Evaluating a Neural Network for Multi-Class Classification.mp4 212.5 MB
[磁力链接] 添加时间:2025-09-18 大小:18.9 GB 最近下载:2025-11-03 热度:210

Modern Reinforcement Learning- Deep Q Learning in PyTorch

  • Modern Reinforcement Learning- Deep Q Learning in PyTorch/04 Human Level Control Through Deep Reinforcement Learning From Paper to Code/018 Analyzing the Paper.mp4 292.7 MB
  • Modern Reinforcement Learning- Deep Q Learning in PyTorch/05 Deep Reinforcement Learning with Double Q Learning/031 Analyzing the Paper.mp4 191.5 MB
  • Modern Reinforcement Learning- Deep Q Learning in PyTorch/07 Improving On Our Solutions/038 Consolidating Our Code Base for Maximum Extensability.mp4 176.9 MB
  • Modern Reinforcement Learning- Deep Q Learning in PyTorch/06 Dueling Network Architectures for Deep Reinforcement Learning/033 Analyzing the Paper.mp4 140.5 MB
  • Modern Reinforcement Learning- Deep Q Learning in PyTorch/02 Fundamentals of Reinforcement Learning/009 Temporal Difference Learning.mp4 135.8 MB
  • Modern Reinforcement Learning- Deep Q Learning in PyTorch/03 Deep Learning Crash Course/010 Dealing with Continuous State Spaces with Deep Neural Networks.mp4 110.4 MB
  • Modern Reinforcement Learning- Deep Q Learning in PyTorch/01 Introduction/003 How to Succeed in this Course.mp4 110.3 MB
  • Modern Reinforcement Learning- Deep Q Learning in PyTorch/04 Human Level Control Through Deep Reinforcement Learning From Paper to Code/019 How to Modify the OpenAI Gym Atari Environments.mp4 85.8 MB
  • Modern Reinforcement Learning- Deep Q Learning in PyTorch/04 Human Level Control Through Deep Reinforcement Learning From Paper to Code/030 Coding the Deep Q Agent Step 5 - The Main Loop and Analyzing the Performance.mp4 76.5 MB
  • Modern Reinforcement Learning- Deep Q Learning in PyTorch/06 Dueling Network Architectures for Deep Reinforcement Learning/035 Coding the Dueling Deep Q Learning Agent and Analyzing Performance.mp4 74.0 MB
  • Modern Reinforcement Learning- Deep Q Learning in PyTorch/04 Human Level Control Through Deep Reinforcement Learning From Paper to Code/025 How to Code the Deep Q Network.mp4 69.7 MB
  • Modern Reinforcement Learning- Deep Q Learning in PyTorch/04 Human Level Control Through Deep Reinforcement Learning From Paper to Code/024 How to Code the Agents Memory.mp4 64.4 MB
  • Modern Reinforcement Learning- Deep Q Learning in PyTorch/02 Fundamentals of Reinforcement Learning/005 Markov Decision Processes.mp4 63.4 MB
  • Modern Reinforcement Learning- Deep Q Learning in PyTorch/03 Deep Learning Crash Course/012 Naive Deep Q Learning in Code Step 2 - Coding the Agent Class.mp4 63.1 MB
  • Modern Reinforcement Learning- Deep Q Learning in PyTorch/05 Deep Reinforcement Learning with Double Q Learning/032 Coding the Double Q Learning Agent and Analyzing Performance.mp4 61.1 MB
  • Modern Reinforcement Learning- Deep Q Learning in PyTorch/02 Fundamentals of Reinforcement Learning/004 Agents Environments and Actions.mp4 60.6 MB
  • Modern Reinforcement Learning- Deep Q Learning in PyTorch/07 Improving On Our Solutions/037 Implementing a Command Line Interface for Rapid Model Testing.mp4 59.9 MB
  • Modern Reinforcement Learning- Deep Q Learning in PyTorch/04 Human Level Control Through Deep Reinforcement Learning From Paper to Code/017 How to Read Deep Learning Papers.mp4 52.1 MB
  • Modern Reinforcement Learning- Deep Q Learning in PyTorch/02 Fundamentals of Reinforcement Learning/006 Value Functions Action Value Functions and the Bellman Equation.mp4 49.5 MB
  • Modern Reinforcement Learning- Deep Q Learning in PyTorch/03 Deep Learning Crash Course/013 Naive Deep Q Learning in Code Step 3 - Coding the Main Loop and Learning.mp4 48.0 MB
[磁力链接] 添加时间:2021-04-10 大小:2.5 GB 最近下载:2025-11-03 热度:3650

Deep Learning Projects with PyTorch [Video]

  • Exercise Files/code_33630.zip 103.9 MB
  • 1.Getting Ready with PyTorch/02.Using PyTorch.mp4 40.7 MB
  • 1.Getting Ready with PyTorch/03.Understanding Regression.mp4 13.0 MB
  • 1.Getting Ready with PyTorch/04.Linear Regression and Logistic Regression.mp4 34.5 MB
  • 2.Convolutional Neural Network/05.Understanding Convolutional Neural Network.mp4 17.9 MB
  • 2.Convolutional Neural Network/06.Looking into Images from a Machine Perspective.mp4 23.4 MB
  • 2.Convolutional Neural Network/07.Making CNN.mp4 33.7 MB
  • 2.Convolutional Neural Network/08.Pooling Layers.mp4 19.5 MB
  • 2.Convolutional Neural Network/09.Output Layer.mp4 21.5 MB
  • 3.Understanding RNN and LSTM/10.Understanding Recurrent Neural Network.mp4 29.4 MB
  • 3.Understanding RNN and LSTM/11.Making RNN for Prediction.mp4 31.1 MB
  • 3.Understanding RNN and LSTM/12.Why LSTM.mp4 52.1 MB
  • 3.Understanding RNN and LSTM/13.Moving to LSTM.mp4 10.6 MB
  • 4.Using Autoencoders for Fraud Detection/14.Getting Ready with Data.mp4 27.2 MB
  • 4.Using Autoencoders for Fraud Detection/15.Developing a Model.mp4 27.8 MB
  • 4.Using Autoencoders for Fraud Detection/16.Getting Output.mp4 8.6 MB
  • 5.Recommending a Movie with Boltzmann Machines/17.Introduction to Boltzmann Machines.mp4 41.6 MB
  • 5.Recommending a Movie with Boltzmann Machines/18.Getting Ready for Recommender System.mp4 18.5 MB
  • 5.Recommending a Movie with Boltzmann Machines/19.Making Boltzmann Machines.mp4 60.9 MB
  • 5.Recommending a Movie with Boltzmann Machines/20.Getting Output.mp4 4.1 MB
[磁力链接] 添加时间:2018-07-28 大小:727.9 MB 最近下载:2025-11-03 热度:4341

[FCSNEW.NET] Udemy - Complete Computer Vision Bootcamp With PyTorch & Tensorflow

  • 05. computer vision (Open CV With Python)/19. Image Segmentation Using openCV.mp4 690.3 MB
  • 06. PyTorch/16. CNN Training Using a Custom Dataset.mp4 561.3 MB
  • 02. Python Prerequisites/37. Pandas-DataFrame And Series.mp4 558.5 MB
  • 02. Python Prerequisites/36. Numpy In Python.mp4 545.7 MB
  • 02. Python Prerequisites/38. Data Manipulation With Pandas And Numpy.mp4 468.7 MB
  • 05. computer vision (Open CV With Python)/20. Haar Cascade for face detection.mp4 440.3 MB
  • 04. Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/6. Vanishing Gradient Problem and Sigmoid.mp4 418.6 MB
  • 11. Image Segmentation/7. Implementing Custom Unet Training.mp4 415.2 MB
  • 02. Python Prerequisites/12. Sets In Python.mp4 412.7 MB
  • 04. Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/3. ANN intuition and Working.mov.mp4 405.2 MB
  • 02. Python Prerequisites/9. Loops In Python.mp4 395.2 MB
  • 04. Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/4. Back Propogation and Weight Updation.mp4 377.4 MB
  • 04. Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/17. Loss Function Classification Problem.mp4 375.4 MB
  • 06. PyTorch/12. Create Linear Regression model with Pytorch components.mp4 370.6 MB
  • 04. Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/1. Perceptron Intuition.mp4 342.8 MB
  • 11. Image Segmentation/5. Fully Convolutional Networks (FCNs).mp4 340.8 MB
  • 10. Basics of Object Detection/11. Custom Object Detection with YOLOv11.mp4 322.3 MB
  • 02. Python Prerequisites/8. Conditional Statements(if,elif,else).mp4 322.0 MB
  • 06. PyTorch/22. Implementing gradio app inference backend.mp4 321.8 MB
  • 02. Python Prerequisites/13. Dictionaries In Python.mp4 313.3 MB
[磁力链接] 添加时间:2025-10-07 大小:30.4 GB 最近下载:2025-11-03 热度:48

Udemy - Complete Computer Vision Bootcamp With PyTorch & Tensorflow (1.2025)

  • 5 - computer vision (Open CV With Python)/19 -Image Segmentation Using openCV.mp4 690.3 MB
  • 6 - PyTorch/16 -CNN Training Using a Custom Dataset.mp4 561.3 MB
  • 2 - Python Prerequisites/36 -Pandas-DataFrame And Series.mp4 558.5 MB
  • 2 - Python Prerequisites/35 -Numpy In Python.mp4 545.7 MB
  • 2 - Python Prerequisites/37 -Data Manipulation With Pandas And Numpy.mp4 468.7 MB
  • 5 - computer vision (Open CV With Python)/20 -Haar Cascade for face detection.mp4 440.3 MB
  • 4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/6 -Vanishing Gradient Problem and Sigmoid.mp4 418.6 MB
  • 2 - Python Prerequisites/11 -Sets In Python.mp4 412.7 MB
  • 4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/3 -ANN intuition and Working.mov.mp4 405.2 MB
  • 2 - Python Prerequisites/8 -Loops In Python.mp4 395.2 MB
  • 4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/4 -Back Propogation and Weight Updation.mp4 377.4 MB
  • 4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/17 -Loss Function Classification Problem.mp4 375.4 MB
  • 6 - PyTorch/12 -Create Linear Regression model with Pytorch components.mp4 370.6 MB
  • 4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/1 -Perceptron Intuition.mp4 342.8 MB
  • 11 - Image Segmentation/5 -Fully Convolutional Networks (FCNs).mp4 340.8 MB
  • 10 - Basics of Object Detection/11 -Custom Object Detection with YOLOv11.mp4 322.3 MB
  • 2 - Python Prerequisites/7 -Conditional Statements(if,elif,else).mp4 322.0 MB
  • 6 - PyTorch/22 -Implementing gradio app inference backend.mp4 321.8 MB
  • 2 - Python Prerequisites/12 -Dictionaries In Python.mp4 313.3 MB
  • 2 - Python Prerequisites/9 -List and List Comprehension In Python.mp4 300.9 MB
[磁力链接] 添加时间:2025-07-24 大小:29.6 GB 最近下载:2025-11-03 热度:390

GetFreeCourses.Co-Udemy-PyTorch for Deep Learning in 2023 Zero to Mastery

  • 5. PyTorch Computer Vision/22. Model 2 Coding Our First Convolutional Neural Network with PyTorch.mp4 218.5 MB
  • 10. PyTorch Paper Replicating/37. Bringing Our Own Vision Transformer to Life - Part 1 Gathering the Pieces.mp4 200.1 MB
  • 10. PyTorch Paper Replicating/36. Creating a Transformer Encoder Layer with In-Built PyTorch Layer.mp4 197.9 MB
  • 11. PyTorch Model Deployment/23. Creating a Function to Make and Time Predictions with Our Models.mp4 194.8 MB
  • 11. PyTorch Model Deployment/49. Training Food Vision Big Our Biggest Model Yet!.mp4 193.2 MB
  • 3. PyTorch Workflow/15. Reviewing the Steps in a Training Loop Step by Step.mp4 186.1 MB
  • 6. PyTorch Custom Datasets/14. Writing a PyTorch Custom Dataset Class from Scratch to Load Our Images.mp4 184.8 MB
  • 5. PyTorch Computer Vision/25. Mode 2 Using a Trick to Find the Input and Output Shapes of Each of Our Layers.mp4 183.3 MB
  • 10. PyTorch Paper Replicating/23. Creating the Patch Embedding Layer with PyTorch.mp4 178.3 MB
  • 6. PyTorch Custom Datasets/18. Exploring State of the Art Data Augmentation With Torchvision Transforms.mp4 174.4 MB
  • 7. PyTorch Going Modular/9. Creating a Training Script to Train Our Model in One Line of Code.mp4 173.6 MB
  • 10. PyTorch Paper Replicating/44. Getting a Pretrained Vision Transformer from Torchvision and Setting it Up.mp4 172.8 MB
  • 10. PyTorch Paper Replicating/30. Turning Equation 2 into Code.mp4 171.8 MB
  • 5. PyTorch Computer Vision/23. Model 2 Breaking Down Conv2D Step by Step.mp4 170.6 MB
  • 11. PyTorch Model Deployment/56. Deploying Food Vision Big to Hugging Face Spaces.mp4 170.4 MB
  • 3. PyTorch Workflow/18. Reviewing What Happens in a Testing Loop Step by Step.mp4 169.4 MB
  • 4. PyTorch Neural Network Classification/10. Loss Function Optimizer and Evaluation Function for Our Classification Network.mp4 168.9 MB
  • 5. PyTorch Computer Vision/31. Making Predictions and Importing Libraries to Plot a Confusion Matrix.mp4 168.6 MB
  • 8. PyTorch Transfer Learning/12. Freezing the Base Layers of Our Model and Updating the Classifier Head.mp4 168.5 MB
  • 10. PyTorch Paper Replicating/16. Calculating the Input and Output Shape of the Embedding Layer by Hand.mp4 168.4 MB
[磁力链接] 添加时间:2023-12-20 大小:29.9 GB 最近下载:2025-11-03 热度:6848


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