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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.

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 ...

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

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 ...

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

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

"️ Purdue - Professional Certificate in AI and Machine Learning ...

What is Machine Learning? This is an introduction to machine learning to begin the python machine learning tutorial series.

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

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 ...

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

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

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

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 ...

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 ...

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