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  • Book Overview & Buying Python Deep Learning Projects
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Python Deep Learning Projects

Python Deep Learning Projects

By : Lamons, Kumar, Nagaraja
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Python Deep Learning Projects

Python Deep Learning Projects

3 (4)
By: Lamons, Kumar, Nagaraja

Overview of this book

Deep learning has been gradually revolutionizing every field of artificial intelligence, making application development easier. Python Deep Learning Projects imparts all the knowledge needed to implement complex deep learning projects in the field of computational linguistics and computer vision. Each of these projects is unique, helping you progressively master the subject. You’ll learn how to implement a text classifier system using a recurrent neural network (RNN) model and optimize it to understand the shortcomings you might experience while implementing a simple deep learning system. Similarly, you’ll discover how to develop various projects, including word vector representation, open domain question answering, and building chatbots using seq-to-seq models and language modeling. In addition to this, you’ll cover advanced concepts, such as regularization, gradient clipping, gradient normalization, and bidirectional RNNs, through a series of engaging projects. By the end of this book, you will have gained knowledge to develop your own deep learning systems in a straightforward way and in an efficient way
Table of Contents (17 chapters)
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8
Handwritten Digits Classification Using ConvNets

Building Face Recognition Using FaceNet

In the previous chapter, we learned how to detect objects in an image. In this chapter, we will look into a specific use case of object detectionface recognition. Face recognition is a combination of two major operations: face detection, followed by face classification.

The (hypothetical) client that provides our business use case for us in this project is a high-performance computing data center Tier III, certified for sustainability. They have designed the facility to meet the very highest standards for protection against natural disasters, with many redundant systems.

The facility currently has ultra-high security protocols in place to prevent malicious, man-made disasters, and they are looking to augment their security profile with facial recognition for access to secure areas throughout the facility.

The stakes are high, as...

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Python Deep Learning Projects
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