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TensorFlow 1.X Recipes for Supervised and Unsupervised Learning

Video Description

Perform Advanced Machine Learning with TensorFlow with 19 hands-on recipes

About This Video

  • Learn quickly how to build Deep Learning models with TensorFlow by following clear recipes
  • Learn how to improve the performance and speed of your machine learning models by applying advanced Deep Learning techniques
  • Learn how to use Deep Learning and TensorFlow to solve valuable problems using real-world datasets

In Detail

Deep Learning models often perform significantly better than traditional machine learning algorithms in many tasks. This course consists of hands-on recipes to use deep learning in the context of supervised and unsupervised learning tasks.

After covering the basics of working with TensorFlow, it shows you how to perform the traditional machine learning tasks in supervised learning: regression and classification. This course also covers how to perform unsupervised learning using cutting-edge techniques from Deep Learning.

To address many different use cases, this product presents recipes for both the low-level API (TensorFlow core) as well as the high-level APIs (tf.contrib.lean and Keras).

All the code and supporting files for this course are available on Github at https://github.com/PacktPublishing/TensorFlow-1.X-Recipes-for-Supervised-and-Unsupervised-Learning