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

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

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 ...

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

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

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

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

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 ...

In this video we will cover what is padding and stride in convolution operation. Padding allows corner pixels in image to ...

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

Using tensorflow mirrored strategy we will perform distributed training on NVIDIA DGX Station A100 System. Distributed training is ...

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

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

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

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

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

This video contains a practical roadmap to learn agentic AI using free learning resources and step by step study plan. Roadmap ...

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