Deep Learning with TensorFlow – On Demand



Price: $400 With Certification

Format: On-Demand

Duration: 20 Hours

Target Audience

This is a technical, hands-on course where students will work with the latest technologies in a series of labs to learn how to create their own solutions. To be successful in this course you need to be a seasoned software developer who is comfortable and fluent in the Python development language.


This course assumes students have a proficient level of knowledge regarding Jupyter notebooks as well. Students are also expected to have a strong knowledge of the concepts which underlie Machine Learning.

This course introduces Deep Learning concepts and TensorFlow library to students. Students will work hands-on with TensorFlow technologies to learn to build their own Deep Learning solutions.

The abundance of data and affordable cloud scale has led to an explosion of interest in Deep Learning. Google has open sourced a library called TensorFlow which has become the de-facto standard, allowing state-of-the-art machine learning done at scale, complete with GPU-based acceleration.

Course Outline

What's Included

  • Chapter 1: Introduction to Machine Learning
  • Chapter 2: Introducing TensorFlow
    • Lab: Setting up and Running TensorFlow
  • Chapter 3: The Tensor: The Basic Unit of TensorFlow
    • Lab: Learning about Tensors
  • Chapter 4: Single Layer Linear Perceptron Classifier With TensorFlow
    • Lab: Single-Layer Perceptron in TensorFlow
  • Chapter 5: Hidden Layers: Intro to Deep Learning
    • Lab: Feedforward Neural Network Classifier in TensorFlow
  • Chapter 6: High-level TensorFlow: tf.learn
  • Lab: Developing a tf.learn model
  • Chapter 7: Convolutional Neural Networks in TensorFlow
    • Lab: CNN apps
  • Chapter 8: Introducing Keras
    • Lab: Example with a Keras
  • Chapter 9: Recurrent Neural Networks in TensorFlow
    • Lab: RNNChapter
  • 10: Long Short Term Memory (LSTM) in TensorFlow
    • Lab: RNN
  • Chapter 11: Conclusion
    • Summarize features and advantages of TensorFlow
    • Summarize Deep Learning and How TensorFlow can help- this course will NOT cover these concepts in-depth!

With this class you will receive:

  • 20 Hours of Learning Content
  • 1 Year of Unlimited Access to Course Materials
  • Ability to stop, pause, rewind and move through all chapters
  • Format: Self-Paced Learning

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