Deep learning projects including applications (face recognition, neural style transfer, autonomous driving, sign language reading, music generation, translation, speech recognition and NLP) and theories (CNNs, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, hyperparameter tuning, regularization, optimization, Residual Networks). …
natural-language-processing translation tensorflow keras cnn lstm dropout speech-recognition yolo rnn face-recognition regularization autonomous-driving music-generation residual-networks hyperparameter-tuning adam batchnorm neural-style-transfer xavier-he-initialization
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Updated
Oct 3, 2018 - Jupyter Notebook