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Understanding Convolution with TensorFlow | Kadenze
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This course introduces you to deep learning: the state-of-the-art approach to building artificial intelligence algorithms. We cover the basic components of deep learning, what it means, how it works, and develop code necessary to build various algorithms such as deep convolutional networks, variational autoencoders, generative adversarial networks, and recurrent neural networks.
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Understanding Convolution with TensorFlow | Kadenze
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