Build a Custom GRU Network Using TensorFlow: A Step Guide – TensorFlow Tutorial
In this tutorial, we will introduce how to build our custom GRU network using tensorflow, which is very similar to create a custom lstm network.
Long Short-Term Memory Network Tutorials and Examples for Beginners
Long Short-Term Memory Network (LSTM) was firstly introduced
by Hochreiter and Schmidhuber in 1997, which is a Variant RNN and contains three gates: forget gate, input gate and output gate.
In this page, we write some tutorials and examples on Long Short-Term Memory Network, you can learn how to use this network by following our tutorials.
Understand GRU (Gated Recurrent Unit): Difference Between GRU and LSTM – Deep Learning Tutorial
There are many models that have improved LSTM, GRU (Gated Recurrent Unit) is one of them. In this tutorial, we will introduce GRU and compare it with LSTM.
Can We Remove Reset Gate in GRU? Can It Decrease the Performance of GRU? – Deep Learning Tutorial
As to GRU, there is a reset gate in it. Can we remove this reset gate in GRU? If we remove it, the performance of GRU will decreased? The answer is we can remove the reset gate.
Build a Custom BiLSTM Model Using TensorFlow: A Step Guide – TensorFlow Tutorial
In this tutorial, we will introduce you how to build your own BiLSTM model using tensorflow, you can modify our code and build a customized model.
Use Your Own Customized LSTM to Classify MNIST Handwritten Digits – TensorFlow Tutorial
We have created a customized lstm model (lstm.py) using tensorflow. In this tutorial, we will use this customized lstm model to train mnist set and classify handwritten digits.
Build Your Own LSTM Model Using TensorFlow: Steps to Create a Customized LSTM – TensorFlow Tutorial
In this tutorial, we will use tensorflow to build our own LSTM model, not use tf.nn.rnn_cell.BasicLSTMCell(). You can create a customized lstm by it.
Understand LSTM Kernel in TensorFlow for Beginners – TensorFlow Tutorial
In this tutorial, we list some tips on lstm kernel, which will help you to understand and use lstm in you tensorflow application, you can get more useful information by referring our tutorial.
Get LSTM Cell Weights and Regularize LSTM in TensorFlow – TensorFlow Tutorial
In this tutorial, we discuss the weights in lstm cell and how to get it. The shape of kernel is very important, which can help us to understand lstm, you can follow our tutorial to more detail.
Understand Adaptive Gating Mechanism in Deep Learning – Deep Learning Tutorial
In this tutorial, we discuss what is adaptive gating mechanism in deep learning and how to use it in ai application, the key is gate is a sigmoid function of inputs. You can learn how to apply it in your research by following our tutorial.
Understand Long Short-Term Memory Network(LSTM) – LSTM Tutorial
In this tutorial, we introduce some basic knownledge of LSTM including LSTM three gates and structure, you can learn how lstm works and try to create a lstm by this tutorial.