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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.

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 ...

... 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 ...

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 ...

... 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.