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Learning Path: TensorFlow-Slim for Complex Model Building and Training

Video Description

If you want to build and train complex TensorFlow models, this Learning Path will show you how TensorFlow-Slim, a new and underutilized library in TensorFlow, makes building, training, and evaluating complex deep learning architectures easy.

Table of Contents

  1. Introduction
    1. Welcome To The Course 00:04:58
    2. About The Author 00:02:02
  2. TensorFlow-Slim Wrapper Functions
    1. Variables In TensorFlow-Slim 00:12:36
    2. Layers In TensorFlow-Slim: Part - 1 00:09:28
    3. Layers In TensorFlow-Slim: Part - 2 00:04:45
    4. Scopes In TensorFlow-Slim: Part - 1 00:13:55
    5. Scopes In TensorFlow-Slim: Part - 2 00:06:59
  3. Defining Deep Neural Network Models
    1. Multilayer Feedforward Neural Network In TensorFlow-Slim: Part - 1 00:06:09
    2. Multilayer Feedforward Neural Network In TensorFlow-Slim: Part - 2 00:05:28
    3. Download And Visualize The Flower Dataset With TensorFlow-Slim 00:05:46
    4. Deep Convolutional Neural Network With TensorFlow-Slim 00:07:13
    5. Download And Explore The DBpedia Dataset 00:04:07
    6. Text Convolutional Neural Network With TensorFlow-Slim 00:15:13
  4. Conclusion
    1. Wrap Up And Thank You 00:02:31
  5. Introduction
    1. Welcome To The Course 00:01:47
    2. About The Author 00:02:01
  6. 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
  7. 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
  8. 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
  9. Conclusion
    1. Wrap Up And Thank You 00:01:39