In this post, we’re going to provide a 30,000-Foot view of neural networks that’s aimed at absolute beginners who are looking to enter the field of Machine Learning and Deep Learning. In this ...
Training Neural Networks for Beginners
In this post, we cover the essential elements required for training Neural Networks for an image classification problem. We will still treat the internal network architecture as a black box so that we ...
Tensorflow & Keras Tutorial: Linear Regression
Before studying deep neural networks, we will cover the fundamental components of a simple (linear) neural network. We'll begin with the topic of linear regression. Since linear regression can be ...
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 ...
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 ...
Convolutional Neural Network (CNN): A Complete Guide
Convolutional Neural Network (CNN) forms the basis of computer vision and image processing. In this post, we will learn about Convolutional Neural Networks in the context of an image classification ...
