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- Geron -- Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd ed. -- 2019.pdf 56.6 MB
- [ FreeCourseWeb.com ] Udemy - Natural Language Processing(NLP) with Deep Learning in Keras.zip 4.2 GB
- Geron A. - Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd edition - 2019.pdf 56.6 MB
- 1. Course Overview, Installs, and Setup/3. Course Setup and Installation.mp4 159.8 MB
- 13. Deployment/7. Flask Front End.mp4 156.9 MB
- 9. Recurrent Neural Networks - RNNs/14. Bonus - Multivariate Time Series - RNN and LSTMs.mp4 156.6 MB
- 9. Recurrent Neural Networks - RNNs/13. RNN Exercise - Solutions.mp4 155.3 MB
- 7. Basic Artificial Neural Networks - ANNs/27. Tensorboard.mp4 151.2 MB
- 7. Basic Artificial Neural Networks - ANNs/20. Keras Project Solutions - Exploratory Data Analysis.mp4 150.6 MB
- 7. Basic Artificial Neural Networks - ANNs/12. Keras Regression Code Along - Exploratory Data Analysis.mp4 143.7 MB
- 12. Generative Adversarial Networks/4. Creating a GAN - Part Three - Model Training.mp4 138.0 MB
- 9. Recurrent Neural Networks - RNNs/11. RNN on a Time Series - Part Two.mp4 137.4 MB
- 13. Deployment/8. Live Deployment to the Web.mp4 132.7 MB
- 7. Basic Artificial Neural Networks - ANNs/23. Keras Project Solutions - Categorical Data.mp4 131.1 MB
- 11. AutoEncoders/3. Autoencoder for Dimensionality Reduction.mp4 123.2 MB
- 7. Basic Artificial Neural Networks - ANNs/17. Keras Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
- 1. Course Overview, Installs, and Setup/3.1 FINAL_TF2_FILES.zip 104.1 MB
- 1. Course Overview, Installs, and Setup/4.1 FINAL_TF2_FILES.zip 104.1 MB
- 8. Convolutional Neural Networks - CNNs/7. CNN on MNIST - Part Two - Creating and Training the Model.mp4 103.7 MB
- 7. Basic Artificial Neural Networks - ANNs/21. Keras Project Solutions - Dealing with Missing Data.mp4 101.5 MB
- 11. AutoEncoders/4. Autoencoder for Images - Part One.mp4 98.7 MB
- 4. Pandas Crash Course/8. Data Input and Output.mp4 98.0 MB
- 5. Visualization Crash Course/3. Seaborn Basics.mp4 96.3 MB
- ~Get Your Files Here !/4. Convolutional Neural Networks/6. Image Augmentation.mp4 50.4 MB
- ~Get Your Files Here !/3. Going Deeper with Keras/11. Learning Rate Defined.mp4 39.7 MB
- ~Get Your Files Here !/4. Convolutional Neural Networks/1. Convolutional Neural Networks.mp4 38.0 MB
- ~Get Your Files Here !/3. Going Deeper with Keras/8. Demo Case Study on Dropping Out.mp4 31.5 MB
- ~Get Your Files Here !/4. Convolutional Neural Networks/10. Object Recognition.mp4 29.2 MB
- ~Get Your Files Here !/3. Going Deeper with Keras/13. Demo Case Study Learning Rates.mp4 29.1 MB
- ~Get Your Files Here !/2. Foundations/10. Performance Evaluation on Neural Networks.mp4 28.8 MB
- ~Get Your Files Here !/2. Foundations/16. Demo Case Study on Multiclass Classification Part 2.mp4 27.8 MB
- ~Get Your Files Here !/5. Recurrent Neural Networks/5. Demo Case Study Time Series Prediction with LSTM.mp4 27.5 MB
- ~Get Your Files Here !/5. Recurrent Neural Networks/1. Recurrent Neural Networks.mp4 27.4 MB
- ~Get Your Files Here !/2. Foundations/17. Demo Case Study on Binary Classification.mp4 26.6 MB
- ~Get Your Files Here !/5. Recurrent Neural Networks/8. Demo Case Study Sequence Classification.mp4 26.5 MB
- ~Get Your Files Here !/1. Introduction/1. Introduction.mp4 26.4 MB
- ~Get Your Files Here !/2. Foundations/1. Theano.mp4 26.4 MB
- ~Get Your Files Here !/3. Going Deeper with Keras/12. Configure Learning Rate.mp4 26.4 MB
- ~Get Your Files Here !/2. Foundations/15. Demo Case Study on Multiclass Classification.mp4 25.4 MB
- ~Get Your Files Here !/4. Convolutional Neural Networks/13. Sentiment Analysis in Keras.mp4 25.2 MB
- ~Get Your Files Here !/1. Introduction/2. What You'll Learn in this Course.mp4 24.6 MB
- ~Get Your Files Here !/2. Foundations/11. Demo Case Study on Data Segmentation.mp4 24.4 MB
- ~Get Your Files Here !/4. Convolutional Neural Networks/2. Demo Case Study Hand Written Digit Recognition.mp4 24.1 MB
- [FreeCourseSite.com] Udemy - Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4/2. Download Code and Setup Colab/1.2 ebook slides - Modern Computer Vision_jp2.zip 287.0 MB
- [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
- [FreeCourseSite.com] Udemy - Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4/18. 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
- [FreeCourseSite.com] Udemy - Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4/2. Download Code and Setup Colab/1.1 Code - Modern Computer Vision_05_06_2022.zip 158.3 MB
- [FreeCourseSite.com] Udemy - Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4/9. OpenCV Projects/6. Neural Style Transfer with OpenCV.mp4 150.0 MB
- [FreeCourseSite.com] Udemy - Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4/22. Google DeepStream and Neural Style Transfer/5. Neural Style Transfer in Keras.mp4 147.9 MB
- [FreeCourseSite.com] Udemy - Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4/4. OpenCV - Image Segmentation/2. Moments, Sorting, Approximating and Matching Contours.mp4 146.6 MB
- [FreeCourseSite.com] Udemy - Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4/18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/1. Implementing LeNet and AlexNet in Keras.mp4 146.1 MB
- [FreeCourseSite.com] Udemy - Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4/26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/5. DeepFace - Age, Gender, Emotion, Ethnicity and Face Recognition.mp4 138.8 MB
- [FreeCourseSite.com] Udemy - Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4/21. Transfer Learning and Fine Tuning/4. Keras Feature Extraction.mp4 138.2 MB
- [FreeCourseSite.com] Udemy - Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4/29. Gun Detector - Scaled-YoloV4/1. Gun Detector - Scaled-YoloV4.mp4 134.7 MB
- [FreeCourseSite.com] Udemy - Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4/21. Transfer Learning and Fine Tuning/5. PyTorch Fine Tuning.mp4 127.5 MB
- [FreeCourseSite.com] Udemy - Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4/2. Download Code and Setup Colab/1.2 ebook slides - Modern Computer Vision.pdf 127.5 MB
- [FreeCourseSite.com] Udemy - Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4/9. OpenCV Projects/3. OCR with PyTesseract and EasyOCR (Text Detection).mp4 125.3 MB
- [FreeCourseSite.com] Udemy - Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4/3. OpenCV - Image Operations/9. Thresholding, Binarization & Adaptive Thresholding.mp4 122.9 MB
- [FreeCourseSite.com] Udemy - Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4/4. OpenCV - Image Segmentation/1. Contours - Drawing, Hierarchy and Modes.mp4 122.8 MB
- [FreeCourseSite.com] Udemy - Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4/19. Using Callbacks in Keras and PyTorch/2. Cats vs Dogs Classifier using Callbacks in PyTorch.mp4 120.6 MB
- [FreeCourseSite.com] Udemy - Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4/3. OpenCV - Image Operations/6. Scaling, Re-sizing, Interpolations and Cropping.mp4 120.5 MB
- [FreeCourseSite.com] Udemy - Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4/19. Using Callbacks in Keras and PyTorch/3. Cats vs Dogs Classifier using Callbacks in Keras.mp4 120.3 MB
- [FreeCourseSite.com] Udemy - Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4/18. 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
- 01 Course Introduction and Table of Contents/001 Course Introduction and Table of Contents.mp4 267.6 MB
- 17 Step 2 and 3 EDA and Data Preparation/001 Step 2 and 3 EDA and Data Preparation - Part 1.mp4 157.0 MB
- 52 Hyper Parameter Tuning/002 Hyper Parameter Tuning - Part 2.mp4 131.7 MB
- 40 CNN Basics/001 CNN Basics.mp4 131.6 MB
- 17 Step 2 and 3 EDA and Data Preparation/002 Step 2 and 3 EDA and Data Preparation - Part 2.mp4 126.3 MB
- 19 Step 5 and 6 Compile and Fit Model/001 Step 5 and 6 Compile and Fit Model.mp4 115.6 MB
- 45 Flowers Classification CNN - Training and Visualization/001 Flowers Classification CNN - Training and Visualization.mp4 111.7 MB
- 56 VGG16 Transfer Learning Training Flowers Dataset/002 VGG16 Transfer Learning Training Flowers Dataset - part 2.mp4 111.5 MB
- 38 Keras Directory Image Augmentation/001 Keras Directory Image Augmentation.mp4 110.8 MB
- 37 Keras Single Image Augmentation/001 Keras Single Image Augmentation - Part 1.mp4 109.1 MB
- 30 Step 2 - EDA and Data Visualization/001 Step 2 - EDA and Data Visualization.mp4 106.0 MB
- 54 VGG16 and VGG19 prediction/001 VGG16 and VGG19 prediction - Part 1.mp4 105.6 MB
- 16 King County House Sales Regression Model - Step 1 Fetch and Load Dataset/001 King County House Sales Regression Model - Step 1 Fetch and Load Dataset.mp4 104.6 MB
- 39 Keras Data Frame Augmentation/001 Keras Data Frame Augmentation.mp4 103.9 MB
- 52 Hyper Parameter Tuning/001 Hyper Parameter Tuning - Part 1.mp4 102.7 MB
- 41 Stride Padding and Flattening Concepts of CNN/001 Stride Padding and Flattening Concepts of CNN.mp4 100.8 MB
- 53 Transfer Learning using Pretrained Models - VGG Introduction/001 Transfer Learning using Pretrained Models - VGG Introduction.mp4 100.6 MB
- 37 Keras Single Image Augmentation/002 Keras Single Image Augmentation - Part 2.mp4 99.7 MB
- 55 ResNet50 Prediction/001 ResNet50 Prediction.mp4 98.8 MB
- 42 Flowers CNN Image Classification Model - Fetch Load and Prepare Data/001 Flowers CNN Image Classification Model - Fetch Load and Prepare Data.mp4 96.8 MB
- [ FreeCourseWeb.com ] Sentiment Analysis with LSTM and Keras in Python (Updated).zip 957.2 MB
- ~Get Your Files Here !/4 - Building Convolutional Neural Network/10 - Solving the problem with Keras.mp4 113.3 MB
- ~Get Your Files Here !/5 - Building Recurrent Neural Network/13 - Solving the problem with Keras.mp4 104.7 MB
- ~Get Your Files Here !/3 - Building Deep Neural Network/8 - Solving the problem with Keras.mp4 98.7 MB
- ~Get Your Files Here !/1 - Introduction to Keras/2 - Environment setup and Installations.mp4 93.9 MB
- ~Get Your Files Here !/4 - Building Convolutional Neural Network/11 - Building VGG16 network architecture.mp4 76.9 MB
- ~Get Your Files Here !/2 - Building a Simple Keras model/4 - Compiling the Model.mp4 41.4 MB
- ~Get Your Files Here !/1 - Introduction to Keras/1 - Different DeepLearning Frameworks vs Keras.mp4 35.9 MB
- ~Get Your Files Here !/2 - Building a Simple Keras model/5 - Fitting the Model.mp4 35.8 MB
- ~Get Your Files Here !/4 - Building Convolutional Neural Network/9 - Explanation and Problem Description.mp4 32.9 MB
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- ~Get Your Files Here !/5 - Building Recurrent Neural Network/12 - Explanation and Problem Description.mp4 17.2 MB
- ~Get Your Files Here !/7 - Conclusion/16 - Conclusion.mp4 6.8 MB
- ~Get Your Files Here !/7 - Conclusion/17 - Bonus Lecture Course discounts newsletter.mp4 814.2 kB
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- ~Get Your Files Here !/4 - Building Convolutional Neural Network/11 - Building VGG16 network architecture English.vtt 7.5 kB
- [ FreeCourseWeb.com ] Hands-On Deep Learning Architectures with Python- Create deep neural networks to solve computational problems using TF and Keras.zip 90.3 MB
- 16. Annex 2 - Convolutional Neural Networks Theory/7. Step 4 - Full Connection.mp4 203.6 MB
- 17. Annex 3 - Recurrent Neural Networks Theory/5. LSTM Practical Intuition.mp4 196.5 MB
- 1. Introduction/1. Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit..mp4 153.4 MB
- 16. Annex 2 - Convolutional Neural Networks Theory/5. Step 2 - Max Pooling.mp4 147.0 MB
- 7. Deep Reinforcement Learning Theory/9. Action Selection Policies.mp4 143.5 MB
- 17. Annex 3 - Recurrent Neural Networks Theory/4. LSTMs.mp4 143.1 MB
- 17. Annex 3 - Recurrent Neural Networks Theory/2. What are Recurrent Neural Networks.mp4 126.8 MB
- 16. Annex 2 - Convolutional Neural Networks Theory/9. Softmax & Cross-Entropy.mp4 123.6 MB
- 2. TensorFlow 2.0 Basics/1. From TensorFlow 1.x to TensorFlow 2.0.mp4 120.4 MB
- 7. Deep Reinforcement Learning Theory/8. Experience Replay.mp4 120.3 MB
- 15. Annex 1 - Artificial Neural Networks Theory/5. How do Neural Networks Learn.mp4 117.6 MB
- 17. Annex 3 - Recurrent Neural Networks Theory/3. Vanishing Gradient.mp4 116.4 MB
- 16. Annex 2 - Convolutional Neural Networks Theory/2. What are Convolutional Neural Networks.mp4 113.1 MB
- 7. Deep Reinforcement Learning Theory/6. Deep Q-Learning Intuition - Step 1.mp4 104.8 MB
- 15. Annex 1 - Artificial Neural Networks Theory/2. The Neuron.mp4 103.5 MB
- 16. Annex 2 - Convolutional Neural Networks Theory/3. Step 1 - Convolution.mp4 102.6 MB
- 7. Deep Reinforcement Learning Theory/5. Temporal Difference.mp4 101.8 MB
- 7. Deep Reinforcement Learning Theory/2. The Bellman Equation.mp4 99.7 MB
- 7. Deep Reinforcement Learning Theory/3. Markov Decision Process (MDP).mp4 98.9 MB
- 4. Convolutional Neural Networks/2. Building the Convolutional Neural Network.mp4 92.5 MB
- ~Get Your Files Here !/01 - Introduction/001 Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit.mp4 153.4 MB
- ~Get Your Files Here !/02 - TensorFlow 2.0 Basics/001 From TensorFlow 1.x to TensorFlow 2.0.mp4 120.4 MB
- ~Get Your Files Here !/17 - Annex 3 - Recurrent Neural Networks Theory/005 LSTM Practical Intuition.mp4 112.7 MB
- ~Get Your Files Here !/17 - Annex 3 - Recurrent Neural Networks Theory/004 LSTMs.mp4 93.2 MB
- ~Get Your Files Here !/16 - Annex 2 - Convolutional Neural Networks Theory/005 Step 2 - Max Pooling.mp4 91.7 MB
- ~Get Your Files Here !/17 - Annex 3 - Recurrent Neural Networks Theory/003 Vanishing Gradient.mp4 90.4 MB
- ~Get Your Files Here !/16 - Annex 2 - Convolutional Neural Networks Theory/002 What are Convolutional Neural Networks.mp4 74.5 MB
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- ~Get Your Files Here !/10 - Dataset Preprocessing with TensorFlow Transform (TFT)/005 Dataset preprocessing pipeline.mp4 62.7 MB
- ~Get Your Files Here !/16 - Annex 2 - Convolutional Neural Networks Theory/007 Step 4 - Full Connection.mp4 61.4 MB
- ~Get Your Files Here !/17 - Annex 3 - Recurrent Neural Networks Theory/002 What are Recurrent Neural Networks.mp4 60.3 MB
- ~Get Your Files Here !/04 - Convolutional Neural Networks/002 Building the Convolutional Neural Network.mp4 59.3 MB
- ~Get Your Files Here !/07 - Deep Reinforcement Learning Theory/009 Action Selection Policies.mp4 57.0 MB
- ~Get Your Files Here !/16 - Annex 2 - Convolutional Neural Networks Theory/009 Softmax & Cross-Entropy.mp4 53.9 MB
- ~Get Your Files Here !/07 - Deep Reinforcement Learning Theory/002 The Bellman Equation.mp4 50.6 MB
- ~Get Your Files Here !/06 - Transfer Learning and Fine Tuning/001 What is Transfer Learning.mp4 48.7 MB
- ~Get Your Files Here !/06 - Transfer Learning and Fine Tuning/002 Project Setup.mp4 46.6 MB
- ~Get Your Files Here !/15 - Annex 1 - Artificial Neural Networks Theory/002 The Neuron.mp4 45.8 MB
- ~Get Your Files Here !/15 - Annex 1 - Artificial Neural Networks Theory/005 How do Neural Networks Learn.mp4 45.4 MB
- ~Get Your Files Here !/07 - Deep Reinforcement Learning Theory/003 Markov Decision Process (MDP).mp4 44.4 MB
- [ FreeCourseWeb.com ] A Practical Guide to Deep Learning with TensorFlow 2.0 and Keras.zip 4.3 GB
- [ FreeCourseWeb.com ] Udemy - Artificial Intelligence #5- MLP Networks with Scikit & Keras (Updated).rar 887.6 MB
- ilearn-annawkipar.r00 50.0 MB
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- [ FreeCourseWeb.com ] The Deep Learning with Keras Workshop- An interactive approach to undersanding Deep learning with Keras, 2nd Edition.zip 245.6 MB
- Artificial Intelligence #5 MLP Networks with Scikit & Keras.zip 921.6 MB
- Download more courses.url 123 Bytes
- Downloaded from TutsGalaxy.com.txt 73 Bytes
- TutsGalaxy.com.txt 52 Bytes
- [ FreeCourseWeb.com ] Udemy - Neural Networks (ANN) using Keras and TensorFlow in Python.zip 3.2 GB
- ~Get Your Files Here !/1 - Fundamentals/5 - Applications.mp4 46.8 MB
- ~Get Your Files Here !/1 - Fundamentals/4 - Why Should we Learn.mp4 37.8 MB
- ~Get Your Files Here !/2 - Model Building and Prediction/28 - Calculates the total loss.mp4 26.5 MB
- ~Get Your Files Here !/1 - Fundamentals/2 - What is Neural Style Transfer.mp4 21.4 MB
- ~Get Your Files Here !/1 - Fundamentals/1 - Introduction.mp4 21.0 MB
- ~Get Your Files Here !/1 - Fundamentals/3 - About this Project.mp4 15.8 MB
- ~Get Your Files Here !/2 - Model Building and Prediction/9 - Contents in Directory.mp4 14.9 MB
- ~Get Your Files Here !/2 - Model Building and Prediction/32 - Perform the style transfer optimization loop.mp4 13.4 MB
- ~Get Your Files Here !/2 - Model Building and Prediction/11 - Checking the availability and usage of GPUs.mp4 11.9 MB
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- ~Get Your Files Here !/2 - Model Building and Prediction/18 - Convert the generated image back to its original format.mp4 10.2 MB
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- 01 - Introduction/001 Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit.mp4 153.4 MB
- 02 - TensorFlow 2.0 Basics/001 From TensorFlow 1.x to TensorFlow 2.0.mp4 120.4 MB
- 17 - Annex 3 - Recurrent Neural Networks Theory/005 LSTM Practical Intuition.mp4 112.7 MB
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- 16 - Annex 2 - Convolutional Neural Networks Theory/005 Step 2 - Max Pooling.mp4 91.7 MB
- 17 - Annex 3 - Recurrent Neural Networks Theory/003 Vanishing Gradient.mp4 90.4 MB
- 16 - Annex 2 - Convolutional Neural Networks Theory/002 What are Convolutional Neural Networks.mp4 74.5 MB
- 16 - Annex 2 - Convolutional Neural Networks Theory/003 Step 1 - Convolution.mp4 68.8 MB
- 10 - Dataset Preprocessing with TensorFlow Transform (TFT)/005 Dataset preprocessing pipeline.mp4 62.7 MB
- 16 - Annex 2 - Convolutional Neural Networks Theory/007 Step 4 - Full Connection.mp4 61.4 MB
- 17 - Annex 3 - Recurrent Neural Networks Theory/002 What are Recurrent Neural Networks.mp4 60.3 MB
- 04 - Convolutional Neural Networks/002 Building the Convolutional Neural Network.mp4 59.3 MB
- 07 - Deep Reinforcement Learning Theory/009 Action Selection Policies.mp4 57.0 MB
- 16 - Annex 2 - Convolutional Neural Networks Theory/009 Softmax & Cross-Entropy.mp4 53.9 MB
- 07 - Deep Reinforcement Learning Theory/002 The Bellman Equation.mp4 50.6 MB
- 06 - Transfer Learning and Fine Tuning/001 What is Transfer Learning.mp4 48.7 MB
- 06 - Transfer Learning and Fine Tuning/002 Project Setup.mp4 46.6 MB
- 15 - Annex 1 - Artificial Neural Networks Theory/002 The Neuron.mp4 45.8 MB
- 15 - Annex 1 - Artificial Neural Networks Theory/005 How do Neural Networks Learn.mp4 45.4 MB
- 07 - Deep Reinforcement Learning Theory/003 Markov Decision Process (MDP).mp4 44.4 MB