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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 ...

... 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 ...

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

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 ...

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

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

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

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

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 ...

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

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

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 ...

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

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

In this video we will do small image classification using CIFAR10 dataset in tensorflow. We will use convolutional neural network ...

In this video we will build our first neural network in tensorflow and python for handwritten digits classification. We will first build a ...

What is BERT (Bidirectional Encoder Representations From Transformers) and how it is used to solve NLP tasks? This video ...

Deep Learning Full Course 2025 | Deep Learning Tutorial for Beginners [4 Hours] - 2024 Edition To learn Data Analytics ...

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 ...