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Deep Learning

Author: Ian Goodfellow, Yoshua Bengio, Aaron Courville Tags: Bayesian probability | Bernoulli Distribution | CNN | Computer Vision | Convolution Networks | deep Learning | Deep Model Optimization | Deep Models | Deep RNNs | Dirac Distribution | Gaussian Distribution | GPU | HMMs | Information Theory | Linear Algebra | Logistic auto Regressive model | N-grams | Norms | Probability Distributions | scalars | Supervised Learning | Tensor Flow | tensors | Unsupervised Learning | Vectors | Download

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