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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 ...

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

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

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

"️ Michigan Engineering - Professional Certificate in AI and Machine Learning ...

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

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

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 ...

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

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

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

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

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

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 ...

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

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

By giving a simple example, this video attempts to explain what is self supervised learning. Machine learning tutorials python: ...

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

Bi directional RNNs are used in NLP problems where looking at what comes in the sentence after a given word influences final ...