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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 ...

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

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 ...

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

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 ...

... 0:00 - 0:15: Introduction 0:16 - 3:01: AI Family Tree 3:02 - 15:54 : Machine Learning 15:55 - 34:17: Deep Learning 34:18 - 36:49 ...

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

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

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 ...

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

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 ...

Tensorflow tf.Data api allows you to build a data input pipeline. Using this you can handle large dataset for your deep learning ...