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DeepLearning.AI · Coursera
Neural Networks and Deep Learning
Foundations of neural networks: forward & back propagation, activation functions, vectorisation, and building deep networks from scratch in Python.
Deep LearningNeural NetworksPython
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DeepLearning.AI · Coursera
Improving Deep Neural Networks
Hyperparameter tuning, regularisation (L2, dropout), batch normalisation, optimisation algorithms (Adam, RMSprop), and TensorFlow introduction.
Hyperparameter TuningRegularisationTensorFlow
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