Training, Evaluating, and Tuning Deep Neural Network Models with TensorFlow-Slim [Online Code]

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Manufacturer Description

Number of Videos: 1.5 hours - 15 lessons
Author: Marvin Bertin
User Level:Intermediate
This course builds on the training in Marvin Bertin's "Introduction to TensorFlow-Slim", which covered the basic concepts and uses of the TensorFlow-Slim (TF-Slim) API. In a series of lessons designed for learners with basic machine learning knowledge and some previous TensorFlow experience, you'll explore many of TF-Slim's most advanced features; using them to build and train sophisticated deep learning models.

As you work through the examples, you'll come to appreciate TF-Slim's primary benefit: Its ability to enable the work of machine learning while avoiding code complexity, a significant problem in the world of increasingly deep neural networks.

  • Learn to construct and customize losses functions for regression, classification, and multi-task problems
  • Discover how to combine various metrics and use them to measure model performance
  • Understand how to automate training and evaluation routines
  • Learn how to train and evaluate a convolutional neural network model
  • See how you can improve model performance by using fine-tuning on pre-trained models
  • Gain experience using transfer learning for new predictive tasks

Marvin Bertin is a data scientist with Driver, a San Francisco based biotech startup. Before that, he worked as a deep learning researcher for the AI company Skymind. Marvin holds degrees in Data Science and Mechanical Engineering, has authored a number of courses on deep learning, and is a speaker at machine learning and deep learning conferences.


Mac Minimum System Requirements:Mac Recommended System Requirements:
  • Processor:   Any
  • RAM:   Any
  • Hard Disk:   1GB
  • Video Card:   Any
  • Supported OS:   Mac El Capitan 10.11, Mac Yosemite 10.10, Mac Mavericks 10.9, Mac Mountain Lion 10.8, Mac Lion 10.7, Mac Snow Leopard 10.6, Mac Leopard 10.5, Mac OS X, Macintosh

    Product Features

    Learn Training, Evaluating, and Tuning Deep Neural Network Models with TensorFlow-Slim from a professional trainer on your own time at your own desk. This visual training method offers users increased retention and accelerated learning. Breaks even the most complex applications down into simplistic steps Comes with Extensive Working Files

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