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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). Deep Learning Specialization by Andrew Ng, deeplearning.ai

Jupyter Notebook 99.42% Python 0.58%
tensorflow keras face-recognition neural-style-transfer autonomous-driving yolo music-generation translation speech-recognition natural-language-processing

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