Logo
AfterAcademy
Interview KitBlogsCoursesYouTube
LatestData Structure & AlgorithmsOS, Networking & DBMSBackendMachine LearningFrontendiOS
What Is Bias In Artificial Neural Network?

What Is Bias In Artificial Neural Network?

Bias is one of the important terminologies in machine learning. Often we add bias while creating any model in the artificial neural network.

Amit Shekhar2 Aug 2019
Mastering Activation Functions in Neural Networks

Mastering Activation Functions in Neural Networks

In this blog, we are going to learn what is activation function and it's types. We will also learn what is a good Activation function and when to use which Activation function in Neural Network.

Admin AfterAcademy6 Dec 2019
Mastering Backpropagation in Neural Network

Mastering Backpropagation in Neural Network

In this blog, we are going to master the Backpropagation Algorithm used in Neural Network in Machine Learning. We will also cover the intuition behind it and it's derivation.

Admin AfterAcademy25 Nov 2019
Getting started with Tensorflow 2.0 Tutorial - Step by step Guide

Getting started with Tensorflow 2.0 Tutorial - Step by step Guide

In this blog, we will learn how to get started with Tensorflow 2.0. This blog is for both beginners as well as for advanced users who want to get started with Tensorflow 2.0 for Machine Learning.

Admin AfterAcademy20 Nov 2019
Understanding The Recurrent Neural Network

Understanding The Recurrent Neural Network

A recurrent neural network (RNN) is a class of artificial neural network where connections between units form a directed graph along a sequence.

Amit Shekhar2 Aug 2019
What Is Regularization In Machine Learning?

What Is Regularization In Machine Learning?

Regularization is a technique which is used to solve the overfitting problem of the machine learning models.

Amit Shekhar2 Aug 2019
What Are L1 and L2 Loss Functions?

What Are L1 and L2 Loss Functions?

L1 and L2 are two loss functions in machine learning which are used to minimize the error.

Amit Shekhar2 Aug 2019
What Is Feature Engineering for Machine Learning?

What Is Feature Engineering for Machine Learning?

Feature engineering is the process of using domain knowledge of the data to create features that make machine learning algorithms work. If feature engineering is done correctly, it increases the predictive power of machine learning algorithms by creating features from raw data that help facilitate the machine learning process. Feature Engineering is an art.

Amit Shekhar2 Aug 2019
Simplest Introduction To Machine Learning

Simplest Introduction To Machine Learning

Yet another article on - Introduction To Machine Learning. Believe me, this article is going to be the simplest introduction to the term Machine Learning. So, let’s start without wasting our time.

Amit Shekhar2 Aug 2019
How Does The Machine Learning Library TensorFlow Work?

How Does The Machine Learning Library TensorFlow Work?

An open-source machine learning framework for everyone. As I believe, when we know the internals of a library, we can get the most out of it. And we feel much more confident while working with that library. Today, TensorFlow is being used by top companies like Google, Uber, Airbnb, Nvidia, Dropbox, etc.

Amit Shekhar2 Aug 2019
Android TensorFlow Lite Machine Learning Example

Android TensorFlow Lite Machine Learning Example

TensorFlow Lite is TensorFlow’s lightweight solution for mobile and embedded devices.

Amit Shekhar2 Aug 2019
What Is Reinforcement Learning In Machine Learning?

What Is Reinforcement Learning In Machine Learning?

Reinforcement Learning is a type of Machine Learning where an agent learns how to behave in an environment by performing certain actions and learning from the results of those actions.

Amit Shekhar2 Aug 2019
Our Learners Work At

AfterAcademy

Stay up to date. Follow us on