Kulbear/deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

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Contains Jupyter notebooks implementing core deep learning concepts—from logistic regression and multi-layer perceptrons through CNNs (ResNets, Keras) and sequence models (RNNs)—alongside quiz materials across five course modules. Implementations use NumPy for foundational algorithms and TensorFlow/Keras for practical applications, covering optimization techniques (gradient descent, Adam), regularization, and batch normalization. Spans the full specialization curriculum from foundational neural network theory to advanced architectures for computer vision and natural language processing tasks.

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coursera-deep-learning-assignments

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May 22, 2019

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Coursera Deep Learning Assignments · 124 frameworks

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