Training, Evaluating, and Tuning Deep Neural Network Models with TensorFlow-Slim

by Marvin Bertin

Released April 2017

Publisher(s): Infinite Skills

ISBN: 9781491986073

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Video description

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.

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Introduction
1. Welcome To The Course 00:01:47
2. About The Author 00:02:01
Training Deep Neural Network Models
1. Loss Function Module In TensorFlow-Slim: Part - 1 00:06:43
2. Loss Function Module In TensorFlow-Slim: Part - 2 00:12:19
3. Training Routines In TensorFlow-Slim: Part - 1 00:06:31
4. Training Routines In TensorFlow-Slim: Part - 2 00:05:08
Evaluating Deep Neural Network Models
1. Evaluation Metrics Module In TensorFlow-Slim: Part - 1 00:05:04
2. Evaluation Metrics Module In TensorFlow-Slim: Part - 2 00:04:10
3. Evaluation Routines In TensorFlow-Slim: Part - 1 00:06:57
4. Evaluation Routines In TensorFlow-Slim: Part - 2 00:06:00
Tuning Deep Neural Network Models
1. Fine-Tuning Existing Models In TensorFlow-Slim: Part 1 00:03:26
2. Fine-Tuning Existing Models In TensorFlow-Slim: Part 2 00:05:03
3. Tensorboard - Visualize Neural Networks And Inspect Model Learning 00:05:46
Conclusion
1. Wrap Up And Thank You 00:01:39

Product information

Title: Training, Evaluating, and Tuning Deep Neural Network Models with TensorFlow-Slim
Author(s): Marvin Bertin
Release date: April 2017
Publisher(s): Infinite Skills
ISBN: 9781491986073