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In this video we go through how to code the ResNet model and in particular ResNet50, ResNet101, ResNet152 from scratch using ...

Want an intuitive and detailed explanation of Residual Networks? Look no further! This video is an animated guide of the paper ...

This video discusses Residual Networks, one of the most popular machine learning architectures that has enabled considerably ...

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

Link to Jupyter Notebook: ...

In this lecture, you will learn how to build a complete image classification pipeline using the powerful ResNet-18 architecture in ...

In this video, we will understand Residual Neural Networks (ResNets) fundamentals and visualize their layers/architecture in ...

to get started with AI engineering, check out this Scrimba course: ...

Don't like the Sound Effect?:* https://youtu.be/GaLL7ZeXsWk *LLM Training Playlist:* ...

Davidson CSC 381: Deep Learning, Fall 2022.

In this workshop, Alexey Grigorev, creator of the Machine Learning ZoomCamp, walks through how to build an image ...

Link to the Tutorial: https://pytorch.org/tutorials/beginner/transfer_learning_tutorial.html 0:00 - Intro 0:32 - How does Transfer ...

In this video, I dive into the ResNet (Residual Network) architecture, one of the most influential advancements in deep learning.

PyTorch is THE essential deep learning library for both research and industrial projects. This comprehensive PyTorch tutorial ...

PyTorch is a deep learning framework for used to build artificial intelligence software with Python. Learn how to build a basic ...

In this video I go through famous "Deep Residual Learning for Image Recognition" paper and implement it in PyTorch. * Values ...

Today we train a convolutional neural network (CNN) in PyTorch, which classifies images from the CIFAR10 dataset.

Deep learning models are often viewed as uninterpretable "black boxes". As researchers, we often extend this thinking to the ...