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And then we will talk about some application of convolutional code we will first discuss some application since for deep space.

Cyclic code notes https://drive.google.com/file/d/1Q0mEYjR-CeVGUJCeJr_H3nf-QIICkkZG/view?usp=drivesdk Do subscribe to ...

Lecture by Prof. Harsha B K & Shruthi M L J.

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Enjoy what you see? Check out our textbook website at http://bioinformaticsalgorithms.org. This is Part 9 of 10 of a series of ...

Sebastian's books: https://sebastianraschka.com/books/ Check out the updated video that fixes the audio issues: ...

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Convolution is a fundamental operation in image processing that plays a crucial role in various aspects of image analysis, ...

Sebastian's books: https://sebastianraschka.com/books/ Slides: ...

Image filters make most people think of Instagram or Camera Phone apps, but what's really going on at pixel level? Image Analyst ...

Design your own deep CNN, convolutional neural network here: ...

Machine Learning Foundations is a free training course where you'll learn the fundamentals of building machine learned models ...

The ReLU activation function is one of the most popular activation functions for Deep Learning and Convolutional Neural ...

The convolution of two functions is a very difficult concept. In the discrete case, it's a bit easier, especially if the two functions have ...

Our eyes can spot edges with no problems, but how do computers determine what's an edge and what's not? Image Analyst Dr ...

The Sliding Window technique is a key tool in algorithmic problem-solving that can significantly speed up calculations and ...

In this video, we dive into the world of autoencoders, a fundamental concept in deep learning. You'll learn how autoencoders ...

Professor Stephen Boyd Samsung Professor in the School of Engineering Director of the Information Systems Laboratory To ...

Learn more about watsonx: https://ibm.biz/BdvxRs Neural networks reflect the behavior of the human brain, allowing computer ...