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 $1000. But, the journey people ...
Understanding Activation Functions in Deep Learning
This post is part of the series on Deep Learning for Beginners, which consists of the following tutorials : Neural Networks : A 30,000 Feet View for BeginnersInstallation of Deep Learning ...
Image Classification using Feedforward Neural Network in Keras
In this article, we will learn how to implement a Feedforward Neural Network in Keras. We will use handwritten digit classification as an example to illustrate the effectiveness of a feedforward ...
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 ...
