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Clipping and Sampling for Recurrent Neural Networks

Introduction In this blog post, I’ll walk you through the simple steps of clipping and sampling for recurrent neural networks. Gradient Clipping ensures that your gradients won’t explode, and you can converge to the optimal solution of the cost function easily. We’ll

Basic RNN

Introduction In this blog, I’ll walk you through building the basics blocks of a Recurrent Neural Network.   Importing Packages Basic Functions Basic RNN Cells Basic LSTM Cells

AI Poem Generator trained on Shakespeares work

Introduction In this blog, I’ll try to explain to you guys how you can make your own Natural Language Processing based program to generate your own poem by just giving the first line of the poem. As the program is

Types of Activation Functions used in Neural Networks

Introduction There are different types of activation functions used in neural networks for feature extraction. The following article gives a brief overview of the most commonly used activation functions: Identity Function The identity function is used as an activation function