Cùng tìm hiểu tại sao 1 cuốn sách viết cách đây 16 năm về trước, vốn chỉ là những tư duy trong việc phân tách nghiệp vụ, lại là giải pháp tuyệt vời cho các vấn đề trên Microservices.
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Google’s TensorFlow is an open source software library for numerical computation. It contains several frameworks that allow for quick and simplified implementation of machine learning models and algorithms. Its Object Detection API is a framework that makes it easy to construct, train and deploy object detection models.
This guide shows how to apply this framework to the compcars dataset in order to train a model that is capable of identifying car models. Due to the large size of the dataset and number of classes being trained for, many of the steps included in other tutorials that can be performed manually are automated instead using bash scripts.
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There are many modern object detectors such as Faster R-CNN, R-FCN, Multibox, SSD and YOLO, which are good enough to be deployed in consumer products (e.g. Google Photos, Pinterest Visual Search) and some have been shown to be fast enough to be run on mobile devices. Because of its varieties, it sometimes makes us hard to choose the one that fit to our applications. This blog will cover basic information about these models and making comparison among them to help you make decisions more easily.
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