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 Introduction to Machine Learning: Why There Are No Programmed Answers Machine Learning Explained: Moving Beyond Hard-Coded Logic How Machine Learning Transforms Data into Insights: The Learning Mechanics The Crucial Role of Data in Machine Learning Insights The…

Table of Contents Exploring the Landscape of Machine Learning: Techniques, Applications, and Insights Introduction: The Power of Machine Learning in Modern Industries What Is Machine Learning? Understanding the Core Types of Machine Learning Techniques Supervised Learning: From Basics to Real-World…

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…

We previously learned about the k-NN classifier — a machine learning model so simple that it doesn’t do any actual “learning” at all. We simply have to store the training data inside the model, and then predictions are made at…