Comprehensive TensorFlow examples for both v1.x and v2.x.
Tutorial collection covering linear regression, logistic regression, Word2Vec, CNNs, RNNs (LSTM), autoencoders, DCGANs, multi-GPU training, TensorBoard, and more.
Basic Models: Linear regression, Logistic regression, Word2Vec, GBDT Neural Networks: Simple NN, CNN, RNN (LSTM), Bi-directional RNN Generative Models: AutoEncoder, DCGAN Utilities: Save/restore models, Custom layers, TensorBoard Data Management: TFRecords, Image transformation, Multi-GPU
| Layer | Technology |
|---|---|
| Language | Python |
| Frameworks | TensorFlow v1.x and v2.x |
| Datasets | MNIST, Boston Housing, Wikipedia |
| Libraries | NumPy, matplotlib, scikit-learn |
pip install tensorflow numpy matplotlib
jupyter notebookMIT