Neural Networks
Neural networks are the foundation of deep learning. A network for prediction and accuracy is built by combining various nodes that are arranged in a meaningful structure. Artificial Neural Networks are another name for them. Learn about its different types, applications, and hands-on experience.
Artificial Neural Networks
By Arun Nawani
● Published At Jan 2022
This blog provides a high-level view of ANNs, particularly their architecture and their uses in the real world.... Keep reading ..
Multilayer Perceptron
By Tashmit
● Published At Dec 2021
The objective of this blog is to understand what multilayer perceptrons are.... Keep reading ..
MLP(Multi-Layer Perceptron)
By Mayank Goyal
● Published At Jan 2022
This article will focus on a brief introduction to Multi-Layer Perceptron and its purpose. Lastly, we will see it’s an implementation... Keep reading ..
Sigmoid Neuron
By Mayank Goyal
● Published At Jan 2022
This article will look into the limitation of perceptron neurons, the maths behind sigmoid neurons, and finally, the implementation.... Keep reading ..
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
By Mandla Dharani
● Published At Jan 2022
In this blog, we discussed Feedforward neural networks, and it’s architecture, developing a simple model and applications. ... Keep reading ..
Backpropagation
By Tashmit
● Published At Nov 2021
The objective of this blog is to understand the concept of backpropagation.... Keep reading ..
Difference Between Backpropagation and Stochastic Gradient Descent
By soham Medewar
● Published At Jan 2022
In this article, we will learn about backpropagation and stochastic gradient descent. Difference between backpropagation and gradient descent.... Keep reading ..
Optimization of Neural Network
Learn about different algorithms, architectures, and techniques for optimising neural networks for better prediction and analysis, as well as improving the accuracy of any model.
Gradient Descent with Momentum
By Mayank Goyal
● Published At Jan 2022
This article will focus on the limitations of gradient descent and how momentum overcomes those shortcomings. Finally, we will look into the maths part.... Keep reading ..
Nesterov Accelerated Gradient
By Mohammad Yawar
● Published At Mar 2022
This article is about Nesterov accelerated gradient focused on its need and working.... Keep reading ..
What is AdaGrad?
By Mohammad Yawar
● Published At Mar 2022
This blog is about AdaGrad. Why it is used, and what is the concept behind it.... Keep reading ..
AdaDelta
By Rajkeshav
● Published At Jan 2022
In this blog, we will review the Gradient Descent algorithm and its drawbacks and the various Optimizers to remove the drawback.... Keep reading ..
RMSProp
By Mayank Goyal
● Published At Feb 2022
This article focuses on the RMSProp optimizer, the reason behind using it, the work and mathematics behind it. Finally at last, we will look into a python implementation.... Keep reading ..
Adaptive Moment Estimation (ADAM)
By soham Medewar
● Published At Jan 2022
In this article, we will learn ADAM (adaptive moment estimation) optimizer. The derivation of ADAM optimizer and implementation of it.... Keep reading ..
Limited-Memory Broyden-Fletcher-Goldfarb-Shanno Algorithm
By soham Medewar
● Published At Jan 2022
In this article, we will discuss the L-BFGS(Limited-Memory Broyden-Fletcher-Goldfarb-Shanno) Algorithm and its maths.... Keep reading ..
Eigenvalues and Eigenvector
Linear algebra is used in machine learning and deep learning. Learn about Eigenvalues and Eigenvectors, which can aid in the reduction of equations and matrices when working on models.
Eigenvalues and Eigenvectors
By Shabeg Singh Gill
● Published At Feb 2022
In this blog post, we’ll learn about the theory behind eigenvectors and eigenvalues and their implementation in Python. ... Keep reading ..
Eigenvalue Decomposition
By Priyanshu Sharma
● Published At Feb 2022
In this blog, We'll go over the definition of eigen decomposition and the notions that go along with it. ... Keep reading ..
Singular Value Decomposition
By soham Medewar
● Published At Jan 2022
In this article, we will discuss Singular Value Decomposition(SVD). Implementation and use of Singular Value Decomposition.... Keep reading ..
Singular Value Decomposition and Eigenvalue Decomposition
By Tashmit
● Published At Jun 2022
This article aims to understand the difference between Singular Value Decomposition and Eigenvalue Decomposition... Keep reading ..