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Image gradients; Style Transfer
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Generative Adversarial Networks
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Gated Recurrent Networks. Hierarchical recurrent networks.
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Homework 4; recurrent neural networks; mathematics of gating
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Convolutional neural networks; data augmentation; ImageDataGenerator; creating branching networks
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Convolutional Neural Networks; building image recognition networks; categorical cross-entropy; binary cross-entropy
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Zoom Recording ID: 97315189191
UUID: mnFo3jbAQBakR6XILsDh7Q==
Meeting Time: 2022-02-28 07:35:29pm
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L1 and L2 Regularization, Dropout, including regularization in Keras models
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HW1 discussion, the vanishing gradient problem, selecting non-linearities, batch normalization, transfer learning
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Experiment control code for HW1; Cross-Validation with variations in training set size.
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Writing python files that are supercomputer-ready; saving/retrieving experiment state to/from pickle files; command-line execution of experiments
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Using Jupyter Lab, Building an XOR network
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