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TensorFlow Basics\n\n- **Concept 1**: Defining tensors\n- **Concept 2**: Evaluating ops\n- **Concept 3**: Interactive session\n- **Concept 4**: Session loggings\n- **Concept 5**: Variables\n- **Concept 6**: Saving variables\n- **Concept 7**: Loading variables\n- **Concept 8**: TensorBoard\n\n## [Chapter 3](https://github.com/BinRoot/TensorFlow-Book/tree/master/ch03_regression) - Regression\n\n- **Concept 1**: Linear regression\n- **Concept 2**: Polynomial regression\n- **Concept 3**: Regularization\n\n## [Chapter 4](https://github.com/BinRoot/TensorFlow-Book/tree/master/ch04_classification) - Classification\n\n- **Concept 1**: Linear regression for classification\n- **Concept 2**: Logistic regression\n- **Concept 3**: 2D Logistic regression\n- **Concept 4**: Softmax classification\n\n## [Chapter 5](https://github.com/BinRoot/TensorFlow-Book/tree/master/ch05_clustering) - Clustering\n\n- **Concept 1**: Clustering\n- **Concept 2**: Segmentation\n- **Concept 3**: Self-organizing map\n\n## [Chapter 6](https://github.com/BinRoot/TensorFlow-Book/tree/master/ch06_hmm) - Hidden markov models\n\n- **Concept 1**: Forward algorithm\n- **Concept 2**: Viterbi decode\n\n## [Chapter 7](https://github.com/BinRoot/TensorFlow-Book/tree/master/ch07_autoencoder) - Autoencoders\n\n- **Concept 1**: Autoencoder\n- **Concept 2**: Applying an autoencoder to images\n- **Concept 3**: Denoising autoencoder\n\n## [Chapter 8](https://github.com/BinRoot/TensorFlow-Book/tree/master/ch08_rl) - Reinforcement learning\n\n- **Concept 1**: Reinforcement learning\n\n## [Chapter 9](https://github.com/BinRoot/TensorFlow-Book/tree/master/ch09_cnn) - Convolutional Neural Networks\n\n- **Concept 1**: Using CIFAR-10 dataset\n- **Concept 2**: Convolutions\n- **Concept 3**: Convolutional neural network\n\n## [Chapter 10](https://github.com/BinRoot/TensorFlow-Book/tree/master/ch10_rnn) - Recurrent Neural Network\n\n- **Concept 1**: Loading timeseries data\n- **Concept 2**: Recurrent neural networks\n- **Concept 3**: Applying RNN to real-world data for timeseries prediction\n\n## [Chapter 11](https://github.com/BinRoot/TensorFlow-Book/tree/master/ch11_seq2seq) - Seq2Seq Model\n\n- **Concept 1**: Multi-cell RNN\n- **Concept 2**: Embedding lookup\n- **Concept 3**: Seq2seq model\n\n## [Chapter 12](https://github.com/BinRoot/TensorFlow-Book/tree/master/ch12_rank) - Ranking\n\n- **Concept 1**: RankNet\n- **Concept 2**: Image embedding\n- **Concept 3**: Image ranking\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbinroot%2Ftensorflow-book","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbinroot%2Ftensorflow-book","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbinroot%2Ftensorflow-book/lists"}