VGGNet - Explained!
In this video, we take a look the VGG network architecture. What is it? Why is it so deep? How do we code it out? How well does it perform? ABOUT ME ⭕ Subscribe: https://www.youtube.com/c/CodeEmporiu... 📚 Medium Blog: / dataemporium 💻 Github: https://github.com/ajhalthor 👔 LinkedIn: / ajay-halthor-477974bb RESOURCES [1 📚] Slides used in the video: https://link.excalidraw.com/p/readonl... [2 📚] Main paper of the video: https://arxiv.org/pdf/1409.1556 [3 📚] Code for VGG network: https://github.com/ajhalthor/computer... [4 📚] ILSVRC Image net competition in 2014 models ranked: https://image-net.org/challenges/LSVR... PLAYLISTS FROM MY CHANNEL ⭕ Reinforcement Learning: • Reinforcement Learning 101 Natural Language Processing: • Natural Language Processing 101 ⭕ Transformers from Scratch: • Natural Language Processing 101 ⭕ ChatGPT Playlist: • ChatGPT ⭕ Convolutional Neural Networks: • Convolution Neural Networks ⭕ The Math You Should Know : • The Math You Should Know ⭕ Probability Theory for Machine Learning: • Probability Theory for Machine Learning ⭕ Coding Machine Learning: • Code Machine Learning MATH COURSES (7 day free trial) 📕 Mathematics for Machine Learning: https://imp.i384100.net/MathML 📕 Calculus: https://imp.i384100.net/Calculus 📕 Statistics for Data Science: https://imp.i384100.net/AdvancedStati... 📕 Bayesian Statistics: https://imp.i384100.net/BayesianStati... 📕 Linear Algebra: https://imp.i384100.net/LinearAlgebra 📕 Probability: https://imp.i384100.net/Probability OTHER RELATED COURSES (7 day free trial) 📕 ⭐ Deep Learning Specialization: https://imp.i384100.net/Deep-Learning 📕 Python for Everybody: https://imp.i384100.net/python 📕 MLOps Course: https://imp.i384100.net/MLOps 📕 Natural Language Processing (NLP): https://imp.i384100.net/NLP 📕 Machine Learning in Production: https://imp.i384100.net/MLProduction 📕 Data Science Specialization: https://imp.i384100.net/DataScience 📕 Tensorflow: https://imp.i384100.net/Tensorflow CHAPTERS 00:00 What is VGG network? 01:22 IMPORTANT: Main contribution of paper 2:00 Demonstrating how 3x3 convolutions approximate larger convolutions 5:13 Why VGGNet? 8:32 Code comparing AlexNet and VGGNet 11:26 Quiz Time 12:27 Summary

Fast R-CNN - Explained!

Residual Networks and Skip Connections (DL 15)

Residual Block from SCRATCH in NumPy

Intuition behind Mamba and State Space Models | Enhancing LLMs!

ResNet - Explained!

VGGNET Architecture In-depth Discussion Along With Code -Deep Learning Advanced CNN

Feature Pyramid Networks - Explained!

The U-Net (actually) explained in 10 minutes

The Strange Math That Predicts (Almost) Anything

Faster R-CNN - Explained!

Zig says NO to AI

LoRA & QLoRA Fine-tuning Explained In-Depth

How LLMs survive in low precision | Quantization Fundamentals

Swin Transformer paper animated and explained

VGG-16 Architecture Visually Explained

Mastering LLM Inference Optimization From Theory to Cost Effective Deployment: Mark Moyou

Variational Autoencoder - Model, ELBO, loss function and maths explained easily!

ResNet (actually) explained in under 10 minutes

DETR - Explained!

