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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 ...

We will go over what is the difference between pytorch, tensorflow and keras in this video. Pytorch and Tensorflow are two most ...

A very simple explanation of convolutional neural network or CNN or ConvNet such that even a high school student can ...

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 ...

This Gen AI tutorial for beginners is sort of like a Gen AI mini-course where a person can start learning the fundamentals of Gen AI ...

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

... 3:02 - 15:54 : Machine Learning 15:55 - 34:17: Deep Learning 34:18 - 36:49 : Generative AI 36:50 - 39:20 : Traditional AI vs Gen ...

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

Transformers is a deep learning architecture that started the modern day AI bootcamp. Applications like ChatGPT uses a model ...

In this databricks tutorial, you will learn Databricks foundations from scratch and build a real end-to-end project in E-Commerce ...

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

... AI 00:42:37 Machine Learning 00:46:46 DevOps, MLOps, FastAPI 00:50:34 Machine Learning Projects 00:52:53 Deep Learning ...

Loss or a cost function is an important concept we need to understand if you want to grasp how a neural network trains itself.