Deep Learning for JavaScript Hackers
Deep Learning for JavaScript Hackers
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Deep Learning for JavaScript Hackers

This book is 40% complete

Last updated on 2019-07-14

About the Book

A hands-on approach to understanding the basics of Machine Learning, build models and deploy real-world solutions using TensorFlow.js with JavaScript. Run your models in the browser or on the server with Node.js.

Solve real-world problems and learn about Computer Vision, Natural Language Processing, Deep Reinforcement Learning by building and training Deep Neural Networks in JavaScript.

A blend of theory, simple explanations, examples, and complete source code serve as a thorough introduction to the beginner, while the experienced professional will enjoy the practical solutions to common problems.

About the Author

Venelin Valkov
Venelin Valkov

Hello everybody,

My name is Venelin and I am thrilled to invite you on a journey through the amazing world of Machine Learning. 

I've been working on quite a lot of software projects in the past 10+ years, started my PhD program in Bayesian Statistics and been fascinated by Machine Learning in the past 5+ years (including some industry experience).

Table of Contents

  • Getting Started with TensorFlow.js
    • Tensors
    • Visualization with tfjs-vis
    • Train your first model
    • Conclusion
  • Predicting Diabetes using Logistic Regression
    • Diabetes data
    • Logistic Regression
    • Predicting diabetes
    • Conclusion
    • References
  • House Price Prediction using Linear Regression
    • House prices data
    • Linear Regression
    • Data Preprocessing
    • Predicting house prices
    • Conclusion
    • References
  • Build a simple Neural Network
    • Neural Networks
    • Should you buy the laptop?
    • Conclusion
    • References

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