Deep Learning

Table of Contents DETR Breakdown Part 3: Architecture and Details DETR Architecture 🏗️ CNN Backbone 🦴 Transformer Preprocessing ⚙️ Transformer Encoder 🔄 Transformer Decoder 🔄 Prediction Heads: Feed-Forward Network ➡️🧠 Importance of DETR 🌟 🔁 End-to-End Trainability ⏩ Parallel Decoding…

Table of Contents DETR Breakdown Part 2: Methodologies and Algorithms The DETR Model 👁️ Object Detection Set Prediction Loss 📉 Optimal Bipartite Matching 🔄 Optimal Bipartite Matching for Objects 🌐 Optimize Object Specific Losses 🔧 Quiz Time! 🤓 Summary Citation…

Table of Contents CycleGAN: Unpaired Image-to-Image Translation (Part 3) Configuring Your Development Environment Need Help Configuring Your Development Environment? Project Structure Implementing CycleGAN Training Implementing Training Callback Implementing Data Pipeline and Model Training Perform Image-to-Image Translation Summary Citation Information CycleGAN:…

Table of Contents CycleGAN: Unpaired Image-to-Image Translation (Part 2) Apples2Oranges Dataset Configuring Your Development Environment Need Help Configuring Your Development Environment? Project Structure Creating Our Configuration File Preprocessing Our Dataset Implementing the CycleGAN Architecture Summary Citation Information CycleGAN: Unpaired Image-to-Image…

Table of Contents DETR Breakdown Part 1: Introduction to DEtection TRansformers Why DETR and What’s So Special? 🤔 What Is Object Detection? 😯 So What’s New in DETR? 🎁 Life Is Not a Bed of Roses 🌹: Past Challenges The…

Table of Contents What’s Behind PyTorch 2.0? TorchDynamo and TorchInductor (primarily for developers) Technology Behind PyTorch 2.0 TorchDynamo TorchInductor AOT Autograd PrimTorch Configuring Your Development Environment Installation Verification Need Help Configuring Your Development Environment? Project Structure Accelerating DNNs Using TorchDynamo…

Table of Contents What’s New in PyTorch 2.0? torch.compile Configuring Your Development Environment Installation Verification Overview of PyTorch 2.0 What’s New in PyTorch 2.0? torch.compile torch.compile Definition Accelerating DNNs with PyTorch 2.0 Project Structure Accelerating Convolutional Neural Networks Parsing Command…

Table of Contents Train a MaskFormer Segmentation Model with Hugging Face 🤗 Transformers Project Structure Requirements Bonus An Introduction to Image Segmentation What Is MaskFormer? 🤗Transformers Ecosystem How to Train an Instance Segmentation Model with MaskFormer? Setup Loading the Dataset…

Table of Contents Face Recognition with Siamese Networks, Keras, and TensorFlow Face Recognition Face Recognition: Identification and Verification Identification via Verification Metric Learning: Contrastive Losses Contrastive Losses Summary Credits Citation Information Face Recognition with Siamese Networks, Keras, and TensorFlow In…