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Convolutional Autoencoders
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Machine Translation; Attention
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Gated Recurrent Networks. Hierarchical recurrent networks.
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Recurrent neural networks; Jordan Networks; Elman Networks; SimpleRNN
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Keras Model API, nesting models; HW 4 introduction
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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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Using parameter files with ArgumentParser
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Convolutional neural networks: first code, 2D convolution; Dropout; First image classification architecture
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This video provides an introduction to hodograph basics.
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This video elaborates on how baroclinic cyclones, jet streaks, lee cyclogenesis, and the LLJ modulates vertical wind shear.
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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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