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A full university-level machine learning course - for free. New lectures every week. Designed as a first course for engineers, program managers, and data professionals who want to learn: the details of important machine learning algorithms; professional model building; and design patterns for building practical machine learning systems. This lecture covers: Neural Network Architectures, Convolutional Layers, pooling, softmax, LeNet, ReLU, Dropout, alex net, resnet, autoencoders, And you can view the entire course in this playlist: Learn more (and find slides for this lecture) at:
