Adrenaline-Education

Course 4 of 4 in this specialization

Build and Deploy Models with TensorFlow

Coming soon 20 topics Self-paced · Online
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Where this comes from

Built from the Wiley title of the same name — professionally edited, technically reviewed, and already relied on by people doing this work.

Source ISBN 9781119466192

How it was built

Sejal Learning Systems rebuilt the book as a course: objectives first, then short video, worked examples, and practice with real feedback. It runs on Coursera at your own pace, with a certificate on completion.

Build and Deploy Models with TensorFlow is a self-paced online course built from the Wiley title of the same name.

What this course covers

  • Introduction
  • Part 1: Getting to Know TensorFlow
  • Chapter 1: Introducing Machine Learning with TensorFlow
  • Chapter 2: Getting Your Feet Wet
  • Chapter 3: Creating Tensors and Operations
  • Chapter 4: Executing Graphs in Sessions
  • Chapter 5: Training
  • Part 2: Implementing Machine Learning
  • Chapter 6: Analyzing Data with Statistical Regression
  • Chapter 7: Introducing Neural Networks and Deep Learning
  • Chapter 8: Classifying Images with Convolutional Neural Networks (CNNs)
  • Chapter 9: Analyzing Sequential Data with Recurrent Neural Networks (RNNs)
  • Part 3: Simplifying and Accelerating TensorFlow
  • Chapter 10: Accessing Data with Datasets and Iterators
  • Chapter 11: Using Threads, Devices, and Clusters
  • Chapter 12: Developing Applications with Estimators
  • Chapter 13: Running Applications on the Google Cloud Platform (GCP)
  • Part 4: The Part of Tens
  • Chapter 14: The Ten Most Important Classes
  • Chapter 15: Ten Recommendations for Training Neural Networks