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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 ...

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

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 ...

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

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

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

What is the difference between generative ai and ai agents and agentic AI system? Let's understand it in a very simple, intuitive ...

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)?

LSTM or long short term memory is a special type of RNN that solves traditional RNN's short term memory problem. In this video I ...

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

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

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

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

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

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

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