Learning Computer Vision with TensorFlow [Video]

Learning Computer Vision with TensorFlow [Video]

This video is included in a Mapt subscription
Marvin Bertin

Exploit the power of TensorFlow to create powerful image processing applications
$0.00
$37.50
$29.99p/m after trial
RRP $124.99
Subscription
Video
Start 30 Day Trial
Subscribe and access every Packt eBook & Video.
 
  • 4,000+ eBooks & Videos
  • 40+ New titles a month
  • 1 Free eBook/Video to keep every month
Start Free Trial
 
Preview in Mapt

Video Details

ISBN 139781788292573
Course Length2 hours 01 minutes

Video Description

TensorFlow has been gaining immense popularity over the past few months, owing to its power and ease of use. This video aims to help you leverage the power of TensorFlow to perform image processing. Beginning with an introduction to image processing, the video will take you through TensorFlow's API-like graph tensor, which can be used for image classification.

Starting off with basic 2D images, the video will gradually take you through recognizing more complex images, colors, shapes, and so on. Making use of the Python API, you will move on to classifying and training your model to identify more complex images such as face and expression detection, while you will also perform classification using regression.

Then you will delve into more advanced stuff such as semantic segmentation, Neural Image Caption Generation, and so on, taking advantage of TensorFlow's Deep Neural Networks. Then the video will up the ante and cover advanced topics such as Object Tracking, Video stream processing, and, finally, accelerating image processing with a GPU.

Style and Approach

This video is a practical guide to implementing TensorFlow in production. It explores various scenarios in which you can use TensorFlow and shows you how to use it in the context of real-world projects. This will not only give you the upper hand in the field but shows the potential for innovative uses of TensorFlow in your environment.

Table of Contents

TensorFlow-Keras Introduction
The Course Overview
Setting Up TensorFlow Environment
TensorFlow- Keras Loss Functions
TensorFlow-Keras Evaluation Metrics
TensorFlow-Keras Optimizers
CNNs with TensorFlow-Keras
What are CNNs?
TensorFlow- Keras Layers
TensorFlow-Keras Functional API
Image Preprocessing and Augmentation
Image Classification with VGG
Cat and Dog Dataset
VGG Network Architecture
VGG Implementation in TensorFlow-Keras
Model Training and Evaluation
Transfer Learning – Feature Extraction
Transfer Learning - Fine Tuning

What You Will Learn

  • Build powerful multi-class image classifiers
  • Build a neural feature extractor that can embed images into a dense and rich vector space.
  • Perform fine-tuning optimization on new predictive tasks using pre-trained neural networks
  • Optimize a neural network with stochastic gradient descent and other advanced optimization methods
  • Build functional model classes and methods with TensorFlow-Keras' Functional API
  • Choose the right loss function and evaluation metric for the right task
  • Build a computational graph representation of a Neural Network
  • Train a neural network with automatic back propagation

Authors

Table of Contents

TensorFlow-Keras Introduction
The Course Overview
Setting Up TensorFlow Environment
TensorFlow- Keras Loss Functions
TensorFlow-Keras Evaluation Metrics
TensorFlow-Keras Optimizers
CNNs with TensorFlow-Keras
What are CNNs?
TensorFlow- Keras Layers
TensorFlow-Keras Functional API
Image Preprocessing and Augmentation
Image Classification with VGG
Cat and Dog Dataset
VGG Network Architecture
VGG Implementation in TensorFlow-Keras
Model Training and Evaluation
Transfer Learning – Feature Extraction
Transfer Learning - Fine Tuning

Video Details

ISBN 139781788292573
Course Length2 hours 01 minutes
Read More

Read More Reviews