Deep Learning

Table of Contents Adversarial Learning with Keras and TensorFlow (Part 2): Implementing the Neural Structured Learning (NSL) Framework and Building a Data Pipeline Adversarial Learning with NSL CIFAR-10 Dataset Configuring Your Development Environment Need Help Configuring Your Development Environment? Project…

Table of Contents Adversarial Learning with Keras and TensorFlow (Part 1): Overview of Adversarial Learning Configuring Your Development Environment Need Help Configuring Your Development Environment? Project Structure Creating Adversarial Examples Robustness Toward Adversarial Examples Summary Citation Information Adversarial Learning with…

Table of Contents Introduction to Gemini Pro Vision Google AI Studio Creating a Prompt Using Google AI Studio Gemini Pro Vision API Summary Citation Information Introduction to Gemini Pro Vision In this tutorial, you will learn how to get started…

Table of Contents T’is the Time … for GenAI! Google and Generative AI What’s the Buzz? What Is Generative AI? Getting Started with Vertex AI-Generative AI Studio’s User Interface Vertex AI-Generative AI Studio on Google Cloud Language Get Started Create…

Table of Contents Faster R-CNNs Object Detection and Deep Learning Measuring Object Detector Performance From Where Do the Ground-Truth Examples Come? Why Do We Use Intersection over Union (IoU)? Mean Average Precision (mAP) The (Faster) R-CNN Architecture A Brief History…

Table of Contents AugMix Breakdown (Part 1): Introduction to AugMix with KerasCV Configuring Your Development Environment Need Help Configuring Your Development Environment? Introduction: Augmentations But Wait, What Is KerasCV? The Dataset The Problem Mismatch Between Training and Test Data Data…

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:…