TensorFlow Tutorial 10 – Recurrent Neural Nets (RNN & LSTM & GRU)

Implement a Recurrent Neural Net (RNN) in Tensorflow! RNNs are a class of neural networks that is powerful for modeling sequence data such as time series or natural language. Learn how we can use the keras API and work with an input sequence. I also show you how easily we can switch to a gated recurrent unit (GRU) or long short-term memory (LSTM) RNN.

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RNN in Depth:

Links:
https://www.tensorflow.org/guide/keras/rnn
https://www.tensorflow.org/api_docs/python/tf/keras/layers/SimpleRNN

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Course Parts:
01 TensorFlow Installation
02 TensorFlow Tensor Basics
03 TensorFlow Neural Net
04 TensorFlow Linear Regression
05 TensorFlow CNN (Convolutional Neural Nets)
06 TensorFlow Save & Load Models
07 TensorFlow Functional API
08 TensorFlow Multi-output Project
09 TensorFlow Transfer Learning
10 TensorFlow RNN / LSTM / GRU
11 TensorFlow NLP

TensorFlow 2, Keras, Deep Learning, TensorFlow Course, TensorFlow Beginner Course, TensorFlow Tutorial

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