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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.

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 ...

... 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 ...

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 ...

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 ...

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 ...

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

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

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

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

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

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

This video shows performance comparison of using a CPU vs NVIDIA TITAN RTX GPU for deep learning. We are using 60000 ...