1 1 1 1 1 1 0 0 0 1 1 0 0 0 1 1 0 0 0 1 1 1 1 1 1
1 1 1 1 1 1 0 0 0 1 1 0 0 0 1 1 0 0 0 1 1 1 1 1 1
1 1 1 1 1 1 0 0 0 1 1 0 0 0 1 1 0 0 0 1 1 1 1 1 1
1 1 1 1 1 1 1 0 0 1 1 0 0 0 1 1 0 0 0 1 1 1 0 1 1
1 1 1 1 1 1 1 0 0 1 1 0 0 0 1 0 0 0 0 1 1 1 1 1 1
1 1 1 1 1 1 1 0 0 1 1 0 0 0 1 0 0 0 0 1 1 1 1 1 1
11111100011000110001111111000000 00100010101000101010001000100000 00100001001111100100001000010000 10001010100010001010100010001000 00000000001111100000000000000100 00100001000010000100001000000010 00000000000010000000000000000001 Output data Input data (one-hot encoding)
Tensorflow and deep learning without a PhD by Martin Görner EN: https://www.youtube.com/watch?v=qyvlt7kiQoI FR: https://www.youtube.com/watch?v=BtAVBeLuigI Deep Learning by Josh Patterson, Adam Gibson Released August 2017 Publisher(s): O’Reilly Media, Inc. ISBN: 9781491914250
This slideshow is an introduction to deep learning. It’s dedicated to people who want to discover the neural networks and the world around it. This isn’t a tutorial, this is a course whose purpose is to provide the knowledge needed to start any deep learning framework tutorial. The purpose is to be more familiar with the neural network environment, concepts and vocabularies.
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