Machine Learning with TensorFlow.js
  • Table of Contents
  • Cover
  • Dedication
  • About the Author
  • Section 1: JavaScript for Machine Learning
    • Machine Learning on the Web
    • Machine Learning Concepts
    • Setting up a TensorFlow.js Development Environment
    • TensorFlow.js Primer
  • Section 2: Developing Neural Network Solutions
    • Train a Neural Network from Scratch with TensorFlow.js
    • End-to-End ML Solutions using TensorFlow.js
  • Section 3: Deep Learning using TensorFlow.js
    • Understanding Deep Neural Networks
    • Convolutional (CNN) and Recurrent Neural Networks (RNN)
    • Deep Reinforcement Learning and Generative Adversarial Networks (GAN)
    • TensorFlow.js Solutions
  • Section 4: Summary and Closing
    • Deployment to Production
    • Surfacing TensorFlow.js Solutions
    • Summary
  • Appendices
    • Appendix A
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About the Author

Adnan Hashmi

PreviousDedicationNextMachine Learning on the Web

Last updated 4 years ago

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has 20 years’ experience in the technology industry working with a host of clients in healthcare, finance, construction, and consulting. He currently works at Microsoft in the Data and AI space, engaging with financial services clients. He holds a Master’s degree in Software Engineering from the Shaheed Zulfikar Ali Bhutto Institute of Science & Technology (SZABIST), Karachi, Pakistan, and is passionate about Machine Learning, Music, and Education.

He is the founder of and can be reached at

Adnan Hashmi
Open Pakistan Education Network (OPEN)
AdnanHashmi.co
@adnan_hashmi