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What is a neural network?: Very simple explanation of a neural network using an analogy that even a high school student can ...

I asked a couple of my friends this question: What is the difference between Machine Learning and Deep Learning and majority of ...

Activation functions (step, sigmoid, tanh, relu, leaky relu ) are very important in building a non linear model for a given problem.

AI vs ML vs DL vs Gen AI, these terms can be confusing to understand. In this short video, I will explain the difference between ...

Advancements in deep learning (especially invention of convolutional neural network or CNN or ConvNet) has made possible ...

Are you planning to deploy a deep learning model on any edge device (microcontrollers, cell phone or wearable device)?

Machine learning models don't understand words. They should be converted to numbers before they are fed to RNN or any other ...

This video gives a very simple explanation of a chain rule that is used while training a neural network. Chain rule is something that ...

Simple Explanation of GRU (Gated Recurrent Units): Similar to LSTM, Gated recurrent unit addresses short term memory problem ...

In this video, we will see how you can think of a logistic regression as a neuron. We will use insurance dataset as a sample and ...

YOLO (You only look once) is a state of the art object detection algorithm that has become main method of detecting objects in the ...

"️ Professional Certificate in AI and Machine Learning by Simplilearn in collaboration with Purdue University ...

Overfitting and underfitting are common phenomena in the field of machine learning and the techniques used to tackle overfitting ...

A very simple explanation of word2vec. This video gives an intuitive understanding of how word2vec algorithm works and how it ...

Derivatives and partial derivatives are important concepts that we need to understand in order to gain knowledge on how neural ...

RNN or Recurrent Neural Network are also known as sequence models that are used mainly in the field of natural language ...

Are you using flask or Fast API to serve your machine learning models? tf serving is a tool that allows you to bring up a model ...

Bias variance trade off is a popular term in statistics. In this video we will look into what bias and variance means in the field of ...

In this video we will go over following concepts, What is true positive, false positive, true negative, false negative What is precision ...

This video explains four reasons why deep learning has become so popular in past few years. In this deep learning tutorial python ...

Vanishing gradient is a commong problem encountered while training a deep neural network with many layers. In case of RNN ...

Simple and easy explanation of LLM or Large Language Model in less than 5 minutes. In this short video, you will build an ...

Federated learning is a machine learning concept used in a scenario where multiple models on private data are trained and then ...

Matrix fundamentals are essential to understand how deep learning works. In this video we will go over what is matrix, matrix ...

In this video, we dive into the world of autoencoders, a fundamental concept in deep learning. You'll learn how autoencoders ...