Build NanoVLM from scratch Coding Swin transformer from scratch VisualBERT paper dissection Swin transformer paper dissection - Hierarchical Vision Transformer using Shifted Windows Build Vision transformer and NanoVLM from scratch | Full 6 hour compilation Input, output and filter dimensions in 2D convolution Introduction to Swin transformer Dissecting DeiT paper - Data efficient image Transformer Coding DeiT Data Efficient Image Transformer from scratch Full compilation- Swin transformer intuition + coding from scratch Contrastive learning for Vision Language Models Introduction to Vision Language Models (VLM) Vision Transformer paper dissection Build Vision Transformer ViT From Scratch - Intuition and coding Let us hand-calculate how GPT-3 has a total of 175B parameters | Transformers for Vision Implementing multi head attention with tensors | Avoiding loops to enable LLM scale-up Introduction to Multi head attention Understanding causal attention or masked self attention | Transformers for vision series Introduction to Flamingo VLM: Understanding the architecture and running inference Reading JEPA paper (Yann LeCun co-author) | Joint Embedding Predictive Architecture Full 3-hour compilation - Diffusion model (DDPM) - Intuition + Coding from scratch Diffusion model (DDPM) PART 2 - Coding from scratch Diffusion model (DDPM) PART 1 - theory and intuition Full 3 hour compilation | Autoencoder + VAE | Intuition + coding from scratch Variational Autoencoder [VAE] from scratch | Intuition + Coding Autoencoder from scratch in 60 minutes | Intuition + coding LLaVA paper - Comprehensive dissection Q, K, V intuition | Introduction to self attention with trainable weights Flamingo paper - Comprehensive dissection Full 6.5-hour compilation: Transformers for Detection and Segmentation - DETR and SAM from scratch Full 4-hour compilation: Detection Transformer (DETR) intuition + coding TimeSformer from scratch: How to use Vision Transformer (ViT) for videos? Segment Anything Model (SAM): An introduction Coding Detection Transformer (DETR) Detection Transformer DETR intuition ViT + DeiT + Swin transformers | Full 10 hour compilation | Intuition + coding from scratch VGGNet: The legendary paper with 145k citations threatened the dominance of AlexNet| Computer Vision Introduction to Vision Transformer (ViT) | An image is worth 16x16 words | Computer Vision Series A Historical Journey through CNNs and Modern Computer Vision 2010–2025 | Computer Vision Series Use Neural Network to find a good CNN Architecture - NASNet | Computer Vision Series DenseNet and EfficientNet - How CNNs were made better and better | Computer Vision Series MobileNet - Deep Learning that fits in your pocket | Convolutional Neural Network | Computer Vision ResNet Explained - Vanishing Gradients, Skip Connections, and Code Implementation | Computer Vision The Story of SqueezeNet: Why Smaller CNNs Can Be Smarter? | Computer Vision Series GoogleNet (aka Inception V1) | The legendary CNN model that ranked #1 in ImageNet 2014 | CV Series Coding a Vision Transformer from scratch using PyTorch AlexNet - the neural network that transformed Computer Vision | Convolution, Pooling and Deep NN Transfer learning: Pretrained embedding, fine-tuning, differential learning | Computer Vision Series Overfit prevention - Regularization, Dropout, Early Stopping, Batch Normalization | Computer Vision Hyperparameter Tuning Like a Pro: W&B for Your ML Experiments | Computer Vision Series [Lecture 5] Neural network for image classification | Computer Vision from Scratch series [Lecture 4] A simple neural network for computer vision | CV from scratch series [Lecture 3] Introduction to filters and convolution | Computer vision from scratch series [Lecture 2] Introduction to Computer Vision | Lecture 1 | CV from scratch series YOLO + OCR for License Plate Recognition | Computer Vision Hands-on Project Introduction to self attention | Implementing a simplified self-attention | Transformers for Vision From RNNs to Transformers - Introduction to attention mechanism | Transformers for Vision The journey of a single token - Introduction to LLMs | Transformers for Vision Series How transformer took over computer vision? CNN's struggle with long range dependency New Series Launch | Transformers for Vision and Multimodal LLMs | Lecture 1 Build and deploy Computer Vision Model for fall detection | Roboflow + Streamlit | Physical Safety Computer Vision Bootcamp | Full 12 hour series | OpenCV, RCNN, UNet, YOLO and Roboflow Roboflow - Best way to build end-to-end computer vision pipeline Computer Vision from Scratch | New course launch | By MIT PhD | Foundations and practical CV A beginners introduction to YOLO | You Only Look Once | Computer Vision UNet and its Family: UNet++, Residual UNet, and Attention UNet | Computer Vision Bootcamp UNet: the 2015 model with 118k+ citations that changed segmentation - And how GenAI brought it back Introduction to Mask R-CNN for image segmentation | Computer Vision bootcamp Object Detection using R-CNN, Fast R-CNN, and Faster R-CNN | Computer Vision Hands-on Bootcamp Object tracking and Counting | OpenCV + YOLO | Computer Vision Hands-on bootcamp Hands on Computer Vision Bootcamp | Day 1