Computer vision from scratch

A 72-video playlist by Vizuara, about 134 hours 58 minutes of video in total.

Videos in this playlist include:

• Computer Vision from Scratch | New course launch | By MIT PhD | Foundations and practical CV
• Introduction to Computer Vision | Lecture 1 | CV from scratch series
• Introduction to filters and convolution | Computer vision from scratch series [Lecture 2]
• A simple neural network for computer vision | CV from scratch series [Lecture 3]
• Neural network for image classification | Computer Vision from Scratch series [Lecture 4]
• Hyperparameter Tuning Like a Pro: W&B for Your ML Experiments | Computer Vision Series [Lecture 5]
• Overfit prevention - Regularization, Dropout, Early Stopping, Batch Normalization | Computer Vision
• Transfer learning: Pretrained embedding, fine-tuning, differential learning | Computer Vision Series
• AlexNet - the neural network that transformed Computer Vision | Convolution, Pooling and Deep NN
• VGGNet: The legendary paper with 145k citations threatened the dominance of AlexNet| Computer Vision
• GoogleNet (aka Inception V1) | The legendary CNN model that ranked #1 in ImageNet 2014 | CV Series
• The Story of SqueezeNet: Why Smaller CNNs Can Be Smarter? | Computer Vision Series
• ResNet Explained - Vanishing Gradients, Skip Connections, and Code Implementation | Computer Vision
• MobileNet - Deep Learning that fits in your pocket | Convolutional Neural Network | Computer Vision
• DenseNet and EfficientNet - How CNNs were made better and better | Computer Vision Series
• Use Neural Network to find a good CNN Architecture - NASNet | Computer Vision Series
• A Historical Journey through CNNs and Modern Computer Vision 2010–2025 | Computer Vision Series
• Introduction to Vision Transformer (ViT) | An image is worth 16x16 words | Computer Vision Series
• Coding a Vision Transformer from scratch using PyTorch
• Hands on Computer Vision Bootcamp | Day 1
• Object tracking and Counting | OpenCV + YOLO | Computer Vision Hands-on bootcamp
• Object Detection using R-CNN, Fast R-CNN, and Faster R-CNN | Computer Vision Hands-on Bootcamp
• Introduction to Mask R-CNN for image segmentation | Computer Vision bootcamp
• UNet: the 2015 model with 118k+ citations that changed segmentation - And how GenAI brought it back
• UNet and its Family: UNet++, Residual UNet, and Attention UNet | Computer Vision Bootcamp

…and 46 more videos.