Last updated: Feb 7, 2022

Feedforward Neural Networks

A feedforward neural network is one that does not have a cycle. Learn about its concept, implementation, and backpropagation.

Introduction to Feedforward Neural Networks MEDIUM

In this blog, we discussed Feedforward neural networks, and it’s architecture, developing a simple model and applications.

Author Mandla Dharani

2 upvotes

Representation Power of Neural Networks

The blog discusses what is meant by the representation power of FNN and why we need deep neural networks representing complex functions, along with a simplified example.

0 upvotes

Backpropagation in Neural Networks EASY

Discover backpropagation in neural networks, including its algorithm, model components, benefits, and drawbacks. Explore various types and essential derivatives.

0 upvotes

Challenges in Neural Network Optimization in Deep Learning HARD

Discover key challenges in neural network optimization in deep learning, from vanishing gradients to overfitting, and learn strategies to overcome them.

Author Sanjana kumari

1 upvote

Difference Between Backpropagation and Stochastic Gradient Descent

In this article, we will learn about backpropagation and stochastic gradient descent. Difference between backpropagation and gradient descent.

Author soham Medewar

1 upvote