"We have Tested and found Below Host Trustable, Please Buy Premium account From Below Host.
UploadGIG.com
Note: Do not Buy Premium account from Reseller"
Information to the news
  • Views: 0
  • Author: buby2009
  • Date: 4-07-2018, 22:38
4-07-2018, 22:38

Free Download Practical Convolutional Neural Networks

Category: Tutorials

Practical Convolutional Neural Networks
Practical Convolutional Neural Networks
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | 478 MB
Genre: eLearning | Language: English

Convolutional Neural Network (CNN) is revolutionizing several application domains such as visual recognition systems, self-driving cars, medical discoveries, innovative e-commerce, and more. You will learn to create innovative solutions around image and video analytics to solve complex machine learning- and computer vision-related problems and implement real-life CNN models. This course starts with an overview of deep neural networks using image classification as an example and walks you through building your first CNN: a human face detector. You will learn to use concepts such as transfer learning with CNN and auto-encoders to build very powerful models, even when little-supervised training data for labeled images is available. Later we build upon this to build advanced vision-related algorithms for object detection, instance segmentation, image captioning, attention mechanisms for vision, and recurrent models for vision. By the end of this course, you should be ready to implement advanced, effective, and efficient CNN models professionally or personally, by working on a complex image and video datasets.

All the code and supporting files for this course are available on Github at https://github.com/PacktPublishing/Practical-Convolutional-Neural-Networks-Video-


Practical Convolutional Neural Networks

Download link:


Links are Interchangeable - No Password - Single Extraction
UploadGIG.com
Dear visitor, you entered the site as an unregistered user.
We recommend you to register or login to the website using your name.

Tags

News archive

^