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GradCAM examples; future of Deep Learning and AI
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Zoom Recording ID: 97315189191
UUID: mnFo3jbAQBakR6XILsDh7Q==
Meeting Time: 2022-02-28 07:35:29pm
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Generators, ImageDataGenerators
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Convolutional neural networks: first code, 2D convolution; Dropout; First image classification architecture
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L1 and L2 Regularization, Dropout, including regularization in Keras models
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Experiment control code for HW1; Cross-Validation with variations in training set size.
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Cross-Validation for examining model sensitivity for training set size. HW 1
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Cross-Validation; large-scale experiment design; HW 1
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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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HW 7; Generative Adversarial Networks
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Metrics and learning curves; Recurrent neural networks
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Convolutional Neural Networks in practice
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