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Martin Görner
5,410 followers
5,410 followers
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Tensorflow 1.0 is out. It contains some breaking API changes but updating your projects should be fairly straightforward. A migration script is provided too. I have adapted both samples for the "Tensorflow and deep learning - without a PhD" series:
https://github.com/martin-gorner/tensorflow-mnist-tutorial
https://github.com/martin-gorner/tensorflow-rnn-shakespeare
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I just released the code for the RNN part of my Tensorflow session: https://github.com/martin-gorner/tensorflow-rnn-shakespeare. The video is still here: https://youtu.be/vq2nnJ4g6N0
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8/9
No space for 50 computers under your desk? Send the Tensorflow job to CloudML. Distributed training, zero setup.

https://www.youtube.com/watch?v=zqWt8oI4gEw&feature=youtu.be&t=23m6s
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7/9
Recurrent neural networks, fantastic at natural language processing, or entertainment, like Shakespeare ;-)

https://www.youtube.com/watch?v=vq2nnJ4g6N0&t=107m25s
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6/9
Once you know what you are doing, step up to Tensorflow's high level APIs. Less code, more brains.

https://www.youtube.com/watch?v=vq2nnJ4g6N0&t=103m43s
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5/9
A new superpower: batch normalisation. Not so easy to get it right so here are some tips.

https://www.youtube.com/watch?v=vq2nnJ4g6N0&t=76m43s
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4/9
What is overfitting, what can you do about it and why convolutional networks were invented.

https://www.youtube.com/watch?v=qyvlt7kiQoI&t=38m48s
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3/9
More ingredients for the neural network formula: multiple layers, relu, dropout, learning rate decay...

https://www.youtube.com/watch?v=qyvlt7kiQoI&t=24m32s
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2/9
The simplest neural network for recognising handwritten digits, with all its tasty ingredients, in Tensorflow.

https://www.youtube.com/watch?v=qyvlt7kiQoI&t=1m12s
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