Building an Image Hashing Search Engine with VP-Trees and OpenCV星耀娱乐网址在线安卓

In this tutorial, you will learn how to build a scalable image hashing search engine using OpenCV, Python, and VP-Trees. Image hashing algorithms are used to: Uniquely quantify the contents of an image using only a single integer. Find duplicate or near-duplicate images in a dataset of images based on their computed hashes. Back in […]

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An interview with Kapil Varshney, Data Scientist at Esri R&D星耀娱乐网址app登录

In today’s blog post, I interview Kapil Varshney, a PyImageSearch reader who was recently hired at Esri Research and Development as a Data Scientist focusing on Computer Vision and Deep Learning. Kapil’s story is really important as it shows that, no matter what your background is, you can be successful in computer vision and deep learning — you just […]

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Keras Learning Rate Finder星耀娱乐网址地址客户端

In this tutorial, you will learn how to automatically find learning rates using Keras. This guide provides a Keras implementation of fast.ai’s popular “lr_find” method. Today is part three in our three-part series of learning rate schedules, policies, and decay using Keras: Part #1: Keras learning rate schedules and decay Part #2: Cyclical Learning Rates […]

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Cyclical Learning Rates with Keras and Deep Learning星耀娱乐网址软件在线

In this tutorial, you will learn how to use Cyclical Learning Rates (CLR) and Keras to train your own neural networks. Using Cyclical Learning Rates you can dramatically reduce the number of experiments required to tune and find an optimal learning rate for your model. Today is part two in our three-part series on tuning […]

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Keras learning rate schedules and decay星耀娱乐网址软件软件

In this tutorial, you will learn about learning rate schedules and decay using Keras. You’ll learn how to use Keras’ standard learning rate decay along with step-based, linear, and polynomial learning rate schedules. When training a neural network, the learning rate is often the most important hyperparameter for you to tune: Too small a learning […]

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Video classification with Keras and Deep Learning星耀娱乐网址地址客户端

In this tutorial, you will learn how to perform video classification using Keras, Python, and Deep Learning. Specifically, you will learn: The difference between video classification and standard image classification How to train a Convolutional Neural Network using Keras for image classification How to take that CNN and then use it for video classification How […]

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Keras ImageDataGenerator and Data Augmentation星耀娱乐网址地址客户端

In today’s tutorial, you will learn how to use Keras’ ImageDataGenerator class to perform data augmentation. I’ll also dispel common confusions surrounding what data augmentation is, why we use data augmentation, and what it does/does not do. Knowing that I was going to write a tutorial on data augmentation, two weekends ago I decided to […]

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Change input shape dimensions for fine-tuning with Keras星耀娱乐网址信誉

In this tutorial, you will learn how to change the input shape tensor dimensions for fine-tuning using Keras. After going through this guide you’ll understand how to apply transfer learning to images with different image dimensions than what the CNN was originally trained on. A few weeks ago I published a tutorial on transfer learning […]

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