by Marvin Bertin | Released July 2017 | ISBN: 9781788292573

Exploit the power of TensorFlow to create powerful image processing applications About This VideoLearn how to build a fully-fledged image-processing application using free tools and librariesPerform basic to advanced image (as well as video) stream processing with Python's APIsUnderstand and optimize various features of TensorFlow with the help of easy-to-grasp examples.In DetailTensorFlow 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. Show and hide more

1. Chapter 1 : TensorFlow-Keras Introduction
   • The Course Overview 00:02:43
   • Setting Up TensorFlow Environment 00:03:18
   • TensorFlow- Keras Loss Functions 00:11:16
   • TensorFlow-Keras Evaluation Metrics 00:10:34
   • TensorFlow-Keras Optimizers 00:09:39
2. Chapter 2 : CNNs with TensorFlow-Keras
   • What are CNNs? 00:11:39
   • TensorFlow- Keras Layers 00:08:42
   • TensorFlow-Keras Functional API 00:12:36
   • Image Preprocessing and Augmentation 00:10:13
3. Chapter 3 : Image Classification with VGG
   • Cat and Dog Dataset 00:03:40
   • VGG Network Architecture 00:06:32
   • VGG Implementation in TensorFlow-Keras 00:06:19
   • Model Training and Evaluation 00:04:07
   • Transfer Learning – Feature Extraction 00:10:33
   • Transfer Learning - Fine Tuning 00:09:38
Show and hide more