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Ingredients in Deep Learning Model and architecture Objective function, training techniques Which feedback should we use to guide the algorithm? Supervised, RL, adversarial training. Regularization, initialization (coupled with modeling) Dropout, Xavier Get enough amount of data . Major Architectures Image Modeling Convolutional Nets Language/Speech Recurrent Nets. Image Modeling and ...
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