pytorch -移花宫 -武林禁地，闲人禁止入内

为您找到约 85 个磁力链接/BT种子，耗时 0 毫秒。

排序：相关程度热度文件大小添加时间最近访问

Udemy - PyTorch for Deep Learning with Python Bootcamp (9.2019)

1. Course Overview, Installs, and Setup/1.1 PYTORCH_NOTEBOOKS.zip.zip 205.5 MB
1. Course Overview, Installs, and Setup/2.1 PYTORCH_NOTEBOOKS.zip.zip 205.5 MB
8. CNN - Convolutional Neural Networks/17. Loading Real Image Data - Part Two.mp4 172.2 MB
7. ANN - Artificial Neural Networks/16. Full ANN Code Along - Regression - Part One - Feature Engineering.mp4 169.5 MB
8. CNN - Convolutional Neural Networks/18. CNN on Custom Images - Part One - Loading Data.mp4 166.6 MB
7. ANN - Artificial Neural Networks/10. Linear Regression with PyTorch - Part Two.mp4 157.1 MB
8. CNN - Convolutional Neural Networks/15. CIFAR-10 DataSet with CNN - Code Along - Part Two.mp4 153.4 MB
9. Recurrent Neural Networks/10. RNN on a Time Series - Part Two.mp4 147.5 MB
9. Recurrent Neural Networks/8. Basic RNN - Training and Forecasting.mp4 143.3 MB
7. ANN - Artificial Neural Networks/22. ANN - Exercise Solutions.mp4 142.4 MB
7. ANN - Artificial Neural Networks/17. Full ANN Code Along - Regression - Part 2 - Categorical and Continuous Features.mp4 135.5 MB
8. CNN - Convolutional Neural Networks/11. MNIST with CNN - Code Along - Part One.mp4 128.9 MB
7. ANN - Artificial Neural Networks/19. Full ANN Code Along - Regression - Part Four - Training and Evaluation.mp4 122.9 MB
8. CNN - Convolutional Neural Networks/3. ANN with MNIST - Part One - Data.mp4 122.4 MB
1. Course Overview, Installs, and Setup/2. Installation and Environment Setup.mp4 121.6 MB
7. ANN - Artificial Neural Networks/18. Full ANN Code Along - Regression - Part Three - Tabular Model.mp4 120.6 MB
10. Using a GPU with PyTorch and CUDA/2. Using GPU for PyTorch.mp4 119.6 MB
11. NLP with PyTorch/2. Encoding Text Data.mp4 114.7 MB
7. ANN - Artificial Neural Networks/11. DataSets with PyTorch.mp4 114.4 MB
8. CNN - Convolutional Neural Networks/12. MNIST with CNN - Code Along - Part Two.mp4 110.6 MB

[磁力链接] 添加时间:2025-08-11 大小:7.2 GB 最近下载:2025-11-06 热度:189

[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

[FCSNEW.NET] ZeroToMastery - PyTorch for Deep Learning Bootcamp Zero to Mastery

10. Section 08 PyTorch Paper Replicating/36. Creating a Transformer Encoder Layer with In-Built PyTorch Layer.mp4 137.5 MB
10. Section 08 PyTorch Paper Replicating/37. Bringing Our Own Vision Transformer to Life - Part 1 Gathering the Pieces of the Puzzle.mp4 134.7 MB
5. Section 03 PyTorch Computer Vision/22. Model 2 Coding Our First Convolutional Neural Network with PyTorch.mp4 130.7 MB
11. Section 09 PyTorch Model Deployment/23. Creating a Function to Make and Time Predictions with Our Models.mp4 128.5 MB
8. Section 06 PyTorch Transfer Learning/12. Freezing the Base Layers of Our Model and Updating the Classifier Head.mp4 121.4 MB
11. Section 09 PyTorch Model Deployment/49. Training Food Vision Big Our Biggest Model Yet!.mp4 121.3 MB
10. Section 08 PyTorch Paper Replicating/30. Turning Equation 2 into Code.mp4 119.3 MB
10. Section 08 PyTorch Paper Replicating/44. Getting a Pretrained Vision Transformer from Torchvision and Setting it Up.mp4 117.8 MB
5. Section 03 PyTorch Computer Vision/25. Model 2 Using a Trick to Find the Input and Output Shapes of Each of Our Layers.mp4 117.0 MB
6. Section 04 PyTorch Custom Datasets/14. Writing a PyTorch Custom Dataset Class from Scratch to Load Our Images.mp4 115.2 MB
3. Section 01 PyTorch Workflow/15. Reviewing the Steps in a Training Loop Step by Step.mp4 114.9 MB
10. Section 08 PyTorch Paper Replicating/11. Breaking Down the Four Equations Overview and a Trick for Reading Papers.mp4 113.3 MB
7. Section 05 PyTorch Going Modular/4. Writing the Outline for Our First Python Script to Setup the Data.mp4 112.7 MB
9. Section 07 PyTorch Experiment Tracking/16. Creating Functions to Prepare Our Feature Extractor Models.mp4 112.5 MB
4. Section 02 PyTorch Neural Network Classification/10. Setting Up a Loss Function Optimizer and Evaluation Function for Our Classification Network.mp4 112.2 MB
5. Section 03 PyTorch Computer Vision/5. Getting a Computer Vision Dataset and Checking Out Its- Input and Output Shapes.mp4 112.1 MB
3. Section 01 PyTorch Workflow/18. Reviewing What Happens in a Testing Loop Step by Step.mp4 112.1 MB
7. Section 05 PyTorch Going Modular/9. Creating a Training Script to Train Our Model in One Line of Code.mp4 111.1 MB
1. Introduction/1. PyTorch for Deep Learning Bootcamp Zero to Mastery.mp4 109.6 MB
10. Section 08 PyTorch Paper Replicating/23. Creating the Patch Embedding Layer with PyTorch.mp4 109.6 MB

[磁力链接] 添加时间:2025-09-23 大小:19.8 GB 最近下载:2025-11-06 热度:85

Udemy - Modern Computer Vision & Deep Learning with Python & PyTorch (12.2024)

09. Overview of YOLO Family for Object Detection/01. Overview of YOLO Family.mp4 277.8 MB
05. 1. Image Classification Task of Computer Vision/02. Image Classification with Deep Convolutional Neural Networks using Python.mp4 241.1 MB
20. Implementation, Optimization and Training Of Segmentation Models/01. Implement Segmentation Models (UNet, PSPNet, DeepLab, PAN, and UNet++).mp4 207.3 MB
07. Transfer Learning for Image Classification/assets/Classification-Dataset.zip 184.8 MB
25. Training, Evaluating and Visualizing Instance Segmentation on Custom Dataset/02. Train, Evaluate Instance Segmentation Model & Visualizing Results on Custom Data.mp4 182.5 MB
04. Computer Vision and Deep Convolutional Neural Networks/03. Coding Convolutional Neural Network Architecture from Scratch.mp4 171.0 MB
12. Detectron2 for Ojbect Detection/01. Detectron2 for Ojbect Detection with PyTorch.mp4 168.2 MB
13. Training, Evaluating and Visualizing Object Detection on Custom Dataset/03. Train, Evaluate Object Detection Models & Visualizing Results on Custom Dataset.mp4 160.9 MB
03. Deep Learning for Computer Vision/01. Basics of Deep Learning for Computer Vision.mp4 158.1 MB
11. Overview of RCNN Family for Object Detection/01. Overview of RCNN Family for Object Detection.mp4 154.5 MB
15. 3. Semantic Segmentation Task Of Computer Vision/02. Semantic Segmentation Real-World Applications.mp4 151.4 MB
12. Detectron2 for Ojbect Detection/02. Perform Object Detection using Detectron2 Pretrained Models.mp4 143.7 MB
04. Computer Vision and Deep Convolutional Neural Networks/06. Calculate Accuracy, Precision, Recall and Visualize Confusion Matrix.mp4 124.0 MB
21. Test Models and Visualize Segmentation Results/01. Test Models and Calculate IOU,Pixel Accuracy,Fscore.mp4 119.0 MB
17. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/04. Data Loading with PyTorch Customized Dataset Class.mp4 114.9 MB
02. What is Computer Vision & its Applications/01. Introduction to Computer Vision and its Real-world Applications.mp4 114.0 MB
10. Video Object Detection in Real-time/04. Testing YOLO8 on Videos and Images.mp4 112.7 MB
13. Training, Evaluating and Visualizing Object Detection on Custom Dataset/01. Custom Dataset for Object Detection.mp4 92.7 MB
25. Training, Evaluating and Visualizing Instance Segmentation on Custom Dataset/01. Custom Dataset for Instance Segmentation.mp4 90.3 MB
21. Test Models and Visualize Segmentation Results/03. Visualize Segmentation Results and Generate RGB Segmented Map.mp4 90.1 MB

[磁力链接] 添加时间:2025-09-30 大小:5.2 GB 最近下载:2025-11-03 热度:119

[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:2025-11-05 热度:52