Adrian Rosebrock

In this blog post, I interview Askat Kuzdeuov, a computer vision and deep learning researcher at the Institute of Smart Systems and Artificial Intelligence (ISSAI). Askat is not only a stellar researcher, but he’s an avid PyImageSearch reader as well.…

In this tutorial, you will receive a gentle introduction to training your first Convolutional Neural Network (CNN) using the PyTorch deep learning library. This network will be able to recognize handwritten Hiragana characters. In training a Convolutional Neural Network (CNN),…

In the past, we’ve worked with datasets that have been pre-compiled and labeled for us — but what if we wanted to go about creating our own custom dataset and then training a CNN on it? In this tutorial, I’ll…

In this tutorial, we will be building a complete end-to-end application that can detect smiles in a video stream in real-time using deep learning along with traditional computer vision techniques. To accomplish this task, we’ll be training the LetNet architecture…

In this tutorial, you will learn how to train your first neural network using the PyTorch deep learning library. This tutorial is part two in our five part series on PyTorch deep learning fundamentals: What is PyTorch? Intro to PyTorch:…

In this tutorial, you will learn about the PyTorch deep learning library, including: What PyTorch is How to install PyTorch on your machine Important PyTorch features, including tensors and autograd How PyTorch supports GPUs Why PyTorch is so popular among…

Previously, we discussed how to save and serialize your models to disk after training is complete. We also learned how to spot underfitting and overfitting as they are happening, enabling you to kill off experiments that are not performing well…

In this tutorial, you will learn two methods to incorporate data augmentation into your tf.data pipeline using Keras and TensorFlow. A good dataset of images is vital when working with data augmentation in TensorFlow. It enables us to see how…

In this tutorial, you will learn how to implement fast, efficient data pipelines for training neural networks using tf.data and TensorFlow. This tutorial is part two in our three part series on the tf.data module: A gentle introduction to tf.data…