In this article, we will learn about autoencoders in deep learning. We will show a practical implementation of using a Denoising Autoencoder on the MNIST handwritten digits dataset as an example. In ...
Best Project Award : Computer Vision for Faces
The first batch of our course on Computer Vision for Faces has graduated and I am very excited to announce the Best Project Award for our course. It has a cash prize of 00. But, the journey people ...
Activation Functions in Deep Learning – A Complete Overview
This post is part of the series on Deep Learning for Beginners, which consists of the following tutorials : In this post, we will learn about different activation functions in Deep learning and ...
Implementing an MLP in TensorFlow & Keras
In this post, we will introduce several new concepts associated with the general problem of classification involving more than two classes. This is sometimes referred to as multinomial regression or ...
Understanding Feedforward Neural Networks
In this article, we will learn about feedforward Neural Networks, also known as Deep feedforward Networks or Multi-layer Perceptrons. They form the basis of many important Neural Networks being used ...
Deep learning using Keras – The Basics
1. Deep Learning Frameworks Deep Learning is a branch of AI which uses Neural Networks for Machine Learning. In the recent years, it has shown dramatic improvements over traditional machine ...
