5 Steps to Master Neural Networks: A Mathematical Guide to Implementation

In earlier blogs, we explored the basic structure of neural networks. Now, let’s deep dive into how these concepts are implemented mathematically. The fundamental of neural network’s implementation is the field of linear algebra. Let’s break this down step by step. Layers of a Neural Network A neural network consists of multiple layers, each responsible […]

“7 Amazing Activation Functions in Neural Networks You Must Know”

Introduction Activation functions are most important function in neural networks. These functions find out whether a neuron should be “activated” or not based on the input signals it receives, ie. Whether the neuron should fire or not. This process is very crucial for introducing non-linearity into the network, which allows it to learn and model […]