A collection of deep learning assignments covering RNNs, LSTMs, hyperparameter tuning, regularization, and advanced optimization techniques, providing hands-on experience with state-of-the-art neural network models and training strategies.
machine-learning deep-learning neural-networks backpropagation-learning-algorithm hyperparameter-tuning rnns lstms advanced-techniques regularization-optimization
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Updated
Dec 19, 2024 - Jupyter Notebook