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…

In this tutorial you will learn how to use dlib’s find_min_global function to optimize the options and hyperparameters to dlib’s shape predictor, yielding a more accurate model. A few weeks ago I published a two-part series on using dlib to…

A few weeks ago I demonstrated how to perform real-time object detection using deep learning and OpenCV on a standard laptop/desktop. After the post was published I received a number of emails from PyImageSearch readers who were curious if the…

This tutorial is meant for advanced Raspberry Pi users who are looking to milk every last bit of performance out of their Pi for computer vision and image processing using OpenCV. I’ll be assuming: You have worked through my previous…

In today’s tutorial, I’ll demonstrate how you can configure your macOS system for deep learning using Python, TensorFlow, and Keras. This tutorial is the final part of a series on configuring your development environment for deep learning. I created these…

Welcome back! This is the fourth post in the deep learning development environment configuration series which accompany my new book, Deep Learning for Computer Vision with Python. Today, we will configure Ubuntu + NVIDIA GPU + CUDA with everything you…

Have you ever had to loop over an image pixel-by-pixel using Python and OpenCV? If so, you know that it’s a painfully slow operation even though images are internally represented by NumPy arrays. So why is this? Why are individual…