Machine Learning with TensorFlow

1.5 Hours
You save 91% -

19 Lessons (1.5h)

  • Getting Started with Deep Learning
    The Course Overview3:48
    Introducing Deep Learning3:59
    Installing TensorFlow on Mac OSX3:50
    Installation on Windows – Pre-Reqeusite Virtual Machine Setup2:49
    Installation on Windows/Linux4:00
  • Your First Classifier
    The Hand-Written Letters Dataset3:01
    Automating Data Preparation3:21
    Understanding Matrix Conversions5:34
    The Machine Learning Life Cycle1:51
    Reviewing Outputs and Results2:51
  • The TensorFlow Toolbox
    Getting Started with TensorBoard5:08
    TensorBoard Events and Histograms5:21
    The Graph Explorer5:08
    Our Previous Project on TensorBoard5:02
  • Cats and Dogs – Convolutional Neural Networks
    Fully Connected Neural Networks4:44
    Convolutional Neural Networks4:58
    Programming a CNN5:01
    Using TensorBoard on Our CNN1:58
    CNN Versus Fully Connected Network Performance2:08

Tackle Common Machine Learning Problems with Google's TensorFlow Library

Packt Publishing

Shams Ul Azeem is an undergraduate of NUST Islamabad, Pakistan, in Electrical Engineering. He has a great interest in the field of computer science and has started his journey from Android Development.Now he’s pursuing his career in Machine Learning, particularly in Deep Learning, by doing medical-related freelance projects with different companies. He was also a member of RISE lab, NUST, and has a publication in the IEEE International Conference, ROBIO as a co-author on Designing of motions for humanoid goal keeper robots.


TensorFlow is an open source software library for numerical computation using data flow graphs. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. This course addresses common commercial machine learning problems using Google's TensorFlow library, familiarizing you with this powerful tool.

  • Access 19 lectures & 1.5 hours of content 24/7
  • Discover how to use TensorFlow & use it in real-world use cases
  • Cover unique features like Data Flow Graphs, training, & visualization of performance w/ TensorBoard


Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: intermediate


  • Unredeemed licenses can be returned for store credit within 30 days of purchase. Once your license is redeemed, all sales are final.
Your cart is empty. Continue Shopping!
Processing order...