Learn TensorFlow Enterprise
"softddl.org"
6-12-2020, 17:49
-
Share on social networks:
-
Download for free: Learn
-
Learn TensorFlow Enterprise: Build, manage, and scale machine learning workloads seamlessly using Google's TensorFlow Enterprise
by KC Tung
English | 2020 | ISBN: 1800209142 | 321 Pages | EPUB | 10 MB
Learn TensorFlow Enterprise: Build, manage, and scale machine learning workloads seamlessly using Google's TensorFlow Enterprise by KC Tung English | 2020 | ISBN: 1800209142 | 321 Pages | EPUB | 10 MB TensorFlow as a machine learning (ML) library has matured into a production-ready ecosystem. This beginner's book uses practical examples to enable you to build and deploy TensorFlow models using optimal settings that ensure long-term support without having to worry about library deprecation or being left behind when it comes to bug fixes or workarounds. Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me 
https://uploadgig.com/file/download/27d3b7555deBB313/g8z5p.Learn.TensorFlow.Enterprise.rar 
https://rapidgator.net/file/70547cdf56f16c9a5a6940dcd3ec8c23/g8z5p.Learn.TensorFlow.Enterprise.rar.html 
http://nitroflare.com/view/AFE92F96397B919/g8z5p.Learn.TensorFlow.Enterprise.rar Also download:
2020
Deploying TensorFlow Models to a Web Application Using Flask API, TensorFlowJS, and TensorFlow Se...
- MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language:
- Tutorials
2020
Applied Neural Networks with TensorFlow 2
- Applied Neural Networks with TensorFlow 2: API Oriented Deep Learning with Python by
- Download eBooks free
2020
Build an Emoting Robot Using Arduino and Machine Learning Applying Gesture Recognition with Tenso...
- Build an Emoting Robot Using Arduino and Machine Learning: Applying Gesture Recognition
- Tutorials
2020
TensorFlow Lite for Mobile Development Deploy Machine Learning Models on Embedded and Mobile Devices
- MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language:
- Tutorials
2020
Udemy - Neural Networks with Tensorflow
- Duration: 5 hours | 38 Lectures | Video: 1280x720, 44 KHz | 2.2 GB | Published 12/2020
- Tutorials
The minimum comment length is 50 characters. comments are moderated