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With this video, I am beginning a new deep learning tutorial series for total beginners. In this deep learning tutorial python, I will ...

Essential concepts that you need to know in AI. If you are just starting out with AI then you need to understand the following ...

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

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

With the ongoing AI boom, one career role that has gained a lot of demand is AI engineer or ML engineer. In this video, we will ...

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

I asked a couple of my friends this question: What is the difference between Machine Learning and Deep Learning and majority of ...

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 ...

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

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

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

In this video, I have shared what inspired me to start a YouTube channel codebasics where I teach Python, data science, machine ...

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

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

Learn Databricks foundations from scratch and build a real end-to-end project in E-Commerce domain that you can confidently put ...

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

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

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 ...

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

Transfer learning is a very important concept in the field of computer vision and natural language processing. Using transfer ...