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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 ...

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

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

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

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

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

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 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 ...

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

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

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

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 ...

In this video we will understand how K nearest neighbors algorithm work. Then write python code using sklearn library to build a ...

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

We are starting an Natural Language Processing tutorial for beginners series in Python. This will be the first episode in season 1.

Want to map your data analysis process clearly? Try Wondershare EdrawMax ：https://event.wondershare.com/api/s/3Mj What is ...

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