ConvNeXt Inference Tutorial in PyTorch | ImageNet Pretrained Published 2022-05-07 Download video MP4 360p Recommendations 10:31 The U-Net (actually) explained in 10 minutes 28:37 Train Object Detection Models in PyTorch | Faster RCNN | Aquarium Detection 20:34 Building a Neural Network with PyTorch in 15 Minutes | Coding Challenge 25:34 158b - Transfer learning using CNN (VGG16) as feature extractor and Random Forest classifier 19:20 ConvNeXt: A ConvNet for the 2020s – Paper Explained (with animations) 25:18 Train Vision Transformers in PyTorch | DeIT | Butterfly Dataset | Image Classification 33:53 What is Transfer Learning? Transfer Learning in Keras | Fine Tuning Vs Feature Extraction 21:00 ConvNet beats Vision Transformers (ConvNeXt) Paper explained 49:55 PyTorch Crash Course - Getting Started with Deep Learning 1:04:35 Deep Learning Tutorial 5 - Multiclass Flowers Classification using VGG16 with Transfer Learning 16:51 Vision Transformer Quick Guide - Theory and Code in (almost) 15 min 30:54 Diffusion models from scratch in PyTorch 17:17 A Complete Overview of Word Embeddings 39:11 Python in Arabic #59 R-CNN Fast, Faster and Mask R-CNN الشبكات العصبية الالتفافية السريعة والمقنعة 11:19 ConvNeXt: A ConvNet for the 2020s 20:28 Watch how a Pro develops AI Agents in real-time 26:55 ChatGPT: 30 Year History | How AI Learned to Talk Similar videos 1:01:01 Paper Reading Group: ConvNext 03:03 ConvNeXt V2 - Vision Transformers 07:51 Convolution is not dead: A ConvNet for the 2020s- Machine Learning, Image Classification Paper React 1:32:31 Implementing ConvNext in Keras & Introduction to Time Series 09:14 ConvNeXt vs SWIN (Depth Estimation) 29:48 CNN Models: Concepts, Building and Training using PyTorch 23:41 Introducing PyTorch and Timm for Deep Learning 22:45 Classification model using Pytorch on CIFAR-10 19:15 How do Vision Transformers work? – Paper explained | multi-head self-attention & convolutions 41:22 PR-366: A ConvNet for the 2020s 1:30:25 Lesson 3: Practical Deep Learning for Coders 2022 More results