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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 ...

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 ...

Want to map your data analysis process clearly? Try Wondershare EdrawMax ：https://event.wondershare.com/api/s/3Mj A very ...

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

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 ...

This Python mini-course is built by keeping in mind the use case of AI. Any AI aspirant who wants to learn AI using Python or want ...

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

Gradient descent is the heart of all supervised learning models. It is important to understand this technique if you are pursuing a ...

Microsoft AI Engineer Program ...

... 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 ...

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

This video gives a very simple explanation of a chain rule that is used while training a neural network. Chain rule is something that ...

Machine learning models don't understand words. They should be converted to numbers before they are fed to RNN or any other ...

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

In this beginner friendly machine learning crash course, we will go over the theory and coding for all the required machine ...

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

Credit card fraud detection, cancer prediction, customer churn prediction are some of the examples where you might get an ...

Derivatives and partial derivatives are important concepts that we need to understand in order to gain knowledge on how neural ...

By giving a simple example, this video attempts to explain what is self supervised learning. Machine learning tutorials python: ...