October 2018
Intermediate to advanced
472 pages
10h 57m
English
Content preview from Python Deep Learning Projects
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Chapter 11 – Automated Image Captioning
In Chapter 9, Object Detection Using OpenCV and TensorFlow, we learned how to detect and classify objects in an image, and in Chapter 10, Building Face Recognition Using FaceNet, we learned how to detect, classify, and identify objects as being the same thing (for example, identifying the same person from two different facial images). In this project, we did something even more complicated and cool! We combined the current state-of-the-art techniques that we've learned so far in our Python deep learning projects, in both CV and NLP, to form a complete image description approach. This model was capable of constructing computer-generated natural language descriptions of any image provided.
The clever ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.