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Last updated: Feb 7, 2022

Recurrent Neural Networks

Recurrent Neural Networks are another type of Deep Learning Neural Network (RNN). It has memory, which is a key feature of RNN. Discover its architecture, implementation, and applications.
Recurrent Neural Network - Intro
In this blog, we discussed working, advantages, disadvantages, applications of the recurrent neural network(RNN)
Understanding an RNN cell
The objective of this blog is to understand RNN cells.
Understanding Bidirectional RNN MEDIUM
This blog will discuss Bidirectional RNN with suitable code examples, some advantages and disadvantages along with some frequently asked questions.
Sequence Models
In this article, we are going to discuss sequence models. Also, we will discuss in detail Recurrent Neural Network(RNN) and Long Short-Term Memory(LSTM).
Unrolling Recurrent Neural Network
This blog will focus on the requirements of Recurrent Neural Networks over Artificial Neural Networks.
Backpropagation Through Time-RNN
This article will look into BPTT, its algorithm, limitations, and advantages over normal Backpropagation.
Truncated BPTT
In this article, we will discuss truncated backpropagation through time (BPTT). Also will learn different techniques that will help in learning Truncated BPTT.
Gated Recurrent Units (GRUs) EASY
This article talks about the architecture and working of GRUs.
Time Series Prediction with GRU
In this article, we will read about Time-series Prediction with GRU. We will compare it with LSTM and see an example.
Long Short Term Memory(LSTM) Cells
This article will study LSTM cells, their working, architecture, and some of their applications.
Solving the Vanishing Gradient Problem with LSTM
In this article, we will discuss how the vanishing gradient problem is solved using LSTM (long short-term memory). Also, will see why simple RNN’s face this problem.
Bidirectional LSTM
In this article, we will learn the functioning of bi-directional long short-term memory(LSTM). Also will understand how to use Bi-LSTM in keras.
Stock Price Prediction Using LSTM
This article will study stock price prediction using the LSTM model and implement the same.
Encoder-Decoder Models
This article study about the encoder-decoder model, its architecture, it's working, and some of the applications.