Hands-On Neural Network Programming with TensorFlow [Video]

Hands-On Neural Network Programming with TensorFlow [Video]

Harveen Singh Chadha
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Create and unleash the power of neural networks using TensorFlow and deep learning concepts in a hands-on style
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Video Description

Ever wondered how you can solve everyday data problems quickly and easily like automating text processing, classifying images, and predicting results? Neural networks and Tensorflow, one of the most powerful technologies, will come to your rescue. These are important technologies for data scientists to know because they are often more powerful than traditional machine learning techniques.

In this course, you'll use neural nets to solve business and other real-world problems and make predictions quickly and easily. You'll program a machine to identify a human face, predict stock market prices, and process text as part of Natural Language Processing (NLP). You'll also gain experience using generative models and autoencoders to create artwork and enhance images.

By the end of this course, you will be able to tackle a range of challenges beyond this course and will have a fair understanding of how you can use the power of TensorFlow to train neural networks of varying complexities, without any hassle.

All the code and supporting files for this course are available on GitHub at https://github.com/PacktPublishing/Hands-On-Neural-Network-Programming-w...

Style and Approach

The course gives you hands-on experience with neural networks and deep learning to teach you the basics so you can apply them yourself.

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What You Will Learn

  • Understand what neural networks and TensorFlow are and what problems they have solved and can solve.
  • Build your own multilayer perceptron neural network to predict fraud and hospital patient readmission
  • Build your own convolutional neural network classifier to automatically identify a photograph
  • Build your own recurrent neural network to forecast time series and stock market data
  • Build your own Long Short Term Memory Model (LSTM) model to classify movie reviews as positive or negative using Natural Language Processing (NLP).
  • Build your own generative model to create computer-generated art.
  • Colorize a black and white photo using an autoencoder.

Authors

Video Details

ISBN 139781789534900
Course Length2 hours 47 minutes
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