March 2018
Intermediate to advanced
320 pages
7h 53m
English
book
TensorFlow Deep Learning Projects
by Alexey Grigorev, Srinivas Kulkarni, Rajalingappaa Shanmugamani
Content preview from TensorFlow Deep Learning Projects
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RNN recommender system in TensorFlow
The data preparation is done and now we take the produced matrices X_train and Y_train and use them for training a model. But of course, we need to create the model first. In this chapter, we will use a recurrent neural network with LSTM cells (Long Short-Term Memory). LSTM cells are better than plain RNN cells because they can capture long-term dependencies better.
A great resource to learn more about LSTMs is the blog post "Understanding LSTM Networks" by Christopher Olah, which is available at https://colah.github.io/posts/2015-08-Understanding-LSTMs/. In this chapter, we do not go into theoretical details about how LSTM and RNN work and only look at using them in TensorFow.
Let us start with defining ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.