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Jan 1, 2024 - Jupyter Notebook
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regularization-dropout
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batch-normalization yolo neural-machine-translation transfer-learning rnn-tensorflow semantic-segmentation data-augmentation l2-regularization lstm-neural-networks rmsprop triplet-loss iou bidirectional-rnn he-initializer adam-optimizer u-net neural-style-transfer one-hot-encoding gram-matrix regularization-dropout
Analyze the customer data, build a neural network to help the operations team identify the customers that are more likely to churn, and provide recommendations on how to retain such customers
tensorflow nn eda batch-normalization keras-classification-models adam-optimizer model-training numpy-library pandas-library model-tuning sgd-optimizer regularization-methods normalization-techniques model-optimization matplotlib-library regularization-dropout seaborn-library
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Feb 21, 2025 - Jupyter Notebook
Just exploring Deep Learning
word2vec linear-regression keras regularization l2-regularization rmsprop stochastic-gradient-descent adam-optimizer batch-gradient-descent mini-batch-gradient-descent softmax-classifier gradient-descent-momentum continuous-bag-of-words regularization-dropout inverted-dropout
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Jul 25, 2020 - Jupyter Notebook
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