Lynda - Deep Learning: Image Recognition

Lynda - Deep Learning: Image Recognition

Thanks to deep learning, image recognition systems have improved and are now used for everything from searching photo libraries to generating text-based descriptions of photographs. In this course, learn how to build a deep neural network that can recognize objects in photographs. Find out how to adjust state-of-the-art deep neural networks to recognize new objects, without the need to retrain the network. Explore cloud-based image recognition APIs that you can use as an alternative to building your own systems. Learn the steps involved to start building and deploying your own image recognition system.

https://www.lynda.com/Python-tutorials/Deep-Learning-Image-Recognition/628707-2.html

Introduction

1. Setting Up Your Development Environment

2. How Image Classification Works

3. Designing a Deep Neural Network for Image Recognition

4. Building and Training the Deep Neural Network

5. Fine-Tuning Pre-trained Neural Networks

6. Using an Image Recognition API

Conclusion

Table of Contents

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