Deep Learning

Table of Contents Deploying a Vision Transformer Deep Learning Model with FastAPI in Python What Is FastAPI? Advantages of FastAPI Positioning FastAPI Among Web Frameworks Brief Overview of Vision Transformers Patch + Position Embedding Linear Projection of Flattened Patches Transformer…

Table of Contents How to Use ‘tf.GradientTape’ Configuring Your Development Environment Introduction What Is tf.GradienTape? Simple Example of tf.GradienTape Image Classification with the COCO Dataset Prepare the Dataset Define the Model Train the Model Using model.fit Custom Training Loop with…

Table of Contents No Module Named ‘torch’ Choose Your Flavor Stable Release Preview (Nightly) Release Know Thy Operating System Linux macOS Windows Your Tool for the Job Conda Pip LibTorch How You’ll Talk to PyTorch Python C++ Other Languages CPU…

Table of Contents Object Tracking with YOLOv8 and Python YOLOv8: Reliable Object Detection and Tracking Understanding YOLOv8 Architecture Mosaic Data Augmentation Anchor-Free Detection C2f (Coarse-to-Fine) Module Decoupled Head Loss Object Detection and Tracking with YOLOv8 Object Detection Object Tracking Practical…

Table of Contents Sharpen Your Vision: Super-Resolution of CCTV Images Using Hugging Face Diffusers Configuring Your Development Environment Problem Statement How Does Super-Resolution Solve This? State-of-the-Art Approaches Generative Adversarial Networks (GANs) Diffusion Models Implementing Diffusion-Based Upscaler Using Hugging Face 🤗…

Table of Contents Understanding Tasks in Diffusers: Part 3 Introduction Why Not Image-to-Image? ControlNet Models Configuring Your Development Environment Setup and Imports Installation Imports Utility Functions Canny ControlNet Setting Up Loading the Model Optimizing the Pipeline Image Generation Cleaning Up…

Table of Contents Unlocking Image Clarity: A Comprehensive Guide to Super-Resolution Techniques Introduction Configuring Your Development Environment Need Help Configuring Your Development Environment? What Is Super-Resolution? Usual Problems with Low-Resolution Imagery Traditional Computer Vision Algorithms for Super-Resolution Nearest-Neighbor Interpolation: Efficient…

Table of Contents Integrating Document Embedding in Gemini Pro: An Approach to Retrieval-Augmented Generation Introduction to Document Embedding with Gemini Pro The Essential Role of Embeddings Setting Up Gemini Pro for Document Embedding and Generation Implementing Document Embedding: Code Integration…

Table of Contents Exploring GAN Code Generation with Gemini Pro and ChatGPT-3.5: A Comparative Study Introduction to GAN Development with Gemini Pro Expectations from the Generated Code Understanding Generative Adversarial Networks Configuring Gemini Pro for PyTorch GAN Code Creation and…