Understand Convolutional LSTM Network: A Beginner Guide – LSTM Network Tutorial
Convolutional LSTM Network is a variant of lstm network. In this tutorial, we will discuss it and help you understand and use it.
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 Tree LSTM Model: A Completed Guide – LSTM Tutorial
Tree LSTM model is widely used in many deep learning fields. It is often used to process tree structure data. In this tutorial, we will introduce it for deep learning beginners.
Understand Stacked LSTM (Long Short-Term Memory Networks): A Beginner Guide – LSTM Tutorial
In order to improve the performance of lstm model in deep learning, we can use stacked lstm. In this tutorial, we will introduce the stacked lstm for deep learning beginners.
Why Your Custom LSTM or BiLSTM is Worse than tf.nn.dynamic_rnn() and tf.nn.bidirectional_dynamic_rnn()
To improve lstm and bilsm, you should implement them by your own tensorflow code. In this tutorial, we will discuss why the performance of your custom lstm or bilstm model are worse than tf.nn.dynamic_rnn() and tf.nn.bidirectional_dynamic_rnn().
An Introduction to How TensorFlow Bidirectional Dynamic RNN Process Variable Length Sequence – LSTM Tutorial
In this tutorial, we will introduce how the tf.nn.bidirectional_dynamic_rnn() process variable length sequence, which is very useful to help you understand this function and build your custom model.
Understand Nested LSTM Network: A Beginner Guide – LSTM Network Tutorial
Nested LSTM network is one of improved LSTM model, which has better performance than classic LSTM. In this tutorial, we will introduce it for lstm network beginners.
Understand the Effect of LSTM Input Gate, Forget Gate and Output Gate – LSTM Network Tutorial
LSTM network contains three gates: input gate, forget gate and output gate. In this tutorial, we will discuss the effect of each gate in LSTM.
LSTM Vs GRU Network: Which Has better Performance? – Deep Learning Tutorial
In this tutorial, we discussed the difference of LSTM and GRU performance and tell you which network you should choose for deep learning programming.
Understand LSTM Peephole Connections: A Beginner Guide – LSTM Networks Tutorial
LSTM peephole conncections is one of improvements for classic LSTM network. In this tutorial, we will introduce the difference between LSTM peephole conncections and classic LSTM.
Understand LSTM Weight and Bias Initialization When Initializer is None in TensorFlow – TensorFlow Tutorial
In this tutorial, we discuss how LSTM Weight and Bias are initialized when initializer is None in TensorFlow. We can modify our custom lstm to make its performace same to tensorflow LSTM network.
