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Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

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10. An Encoder- Decoder Network for Neural Machine Translation.ipynb
10. An Encoder- Decoder Network for Neural Machine Translation.ipynb
 
 
10. MNIST FASHION.ipynb
10. MNIST FASHION.ipynb
 
 
11. Undercomplete AutoEncoder for Dimensionality Reduction.ipynb
11. Undercomplete AutoEncoder for Dimensionality Reduction.ipynb
 
 
12. Stacked AutoEncoder for Fashion MNIST Dimensionality Reduction and Visualization with TSNE.ipynb
12. Stacked AutoEncoder for Fashion MNIST Dimensionality Reduction and Visualization with TSNE.ipynb
 
 
13. Tying Weights of Undercomplete AutoEncoder for Dimensionality Reduction.ipynb
13. Tying Weights of Undercomplete AutoEncoder for Dimensionality Reduction.ipynb
 
 
14. Recurrent Undercomplete AutoEncoder Fashion MNIST.ipynb
14. Recurrent Undercomplete AutoEncoder Fashion MNIST.ipynb
 
 
15. Denoising AutoEncoder.ipynb
15. Denoising AutoEncoder.ipynb
 
 
16. Variational AutoEncoder for Fashion MNIST.ipynb
16. Variational AutoEncoder for Fashion MNIST.ipynb
 
 
17. Generating Fashion MNIST Images.ipynb
17. Generating Fashion MNIST Images.ipynb
 
 
18. Generative Adverserial Networks.ipynb
18. Generative Adverserial Networks.ipynb
 
 
19. Deep Convolutional GANs(DCGANs).ipynb
19. Deep Convolutional GANs(DCGANs).ipynb
 
 
2. California Housing Price.ipynb
2. California Housing Price.ipynb
 
 
3. MNIST Classification.ipynb
3. MNIST Classification.ipynb
 
 
4. Iris Species.ipynb
4. Iris Species.ipynb
 
 
5. tf_flowers datasets Using Pretrained Models For TRansfer Learning.ipynb
5. tf_flowers datasets Using Pretrained Models For TRansfer Learning.ipynb
 
 
6. Stateles RNN, Generating ShakesPearean Text Using Char RNN.h5
6. Stateles RNN, Generating ShakesPearean Text Using Char RNN.h5
 
 
7. Stateful RNN.ipynb
7. Stateful RNN.ipynb
 
 
8. Sentiment Analysis Reusing Pretrained Embeddings.ipynb
8. Sentiment Analysis Reusing Pretrained Embeddings.ipynb
 
 
9.Sentiment Analysis of IMDB.ipynb
9.Sentiment Analysis of IMDB.ipynb
 
 
README.md
README.md
 
 

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Hands-On-Machine-Learning-with-Scikit-Learn-and-TensorFlow-Concepts-Tools-and-Techniques-to-Build

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems this is a comprehensive implementation of this book and aim to fullfill it's knowledge and conduct it in a style way

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Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

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python machine-learning deep-neural-networks computer-vision deep-learning tensorflow scikit-learn computer generative-adversarial-network deep-learning-algorithms autoencoder deeplearning convolutional-neural-networks recurrent recurrentneural

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