Build, Train, and Deploy Your First Neural NetWork with TensorFlow
Category: Tutorials
- views: 135
- date: 23 February 2025
- posted by: AD-TEAM

Build, Train, and Deploy Your First Neural Network with TensorFlow
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 2h 47m | 359 MB
Instructor: Jerry Kurata
In this course, you will learn the basic principles of machine learning and neural networks so you can quickly create, train, and deploy a neural network with TensorFlow.
TensorFlow is an open source machine learning framework that brings the power of machine learning to everyone. TensorFlow makes it easy for developers to create neural network based machine learning models. In this course, Build, Train, and Deploy Your First Neural Network with TensorFlow, you will learn the foundational knowledge needed to create your own neural networks. First, you will explore the basic principles of how machine learning lets us create models that learn from data. Next, you will discover how to apply these principles to neural networks and create a model that predicts the class of clothing in an image. Then, you will delve into how TensorFlow makes it easy to evaluate and improve the performance of neural networks with built-in tools like TensorBoard. Finally, you will learn how to deploy your neural network and make its predictive power available to client applications. When you are finished with this course, you will have the skills and knowledge of machine learning and TensorFlow needed to create, train, and deploy a predictive neural network.
More Info

TurboBit
RapidGator
AlfaFile
FileFactory
We need your support!
Make a donation to help us stay online
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem
Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239
Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u
USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239
USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm
Information |
|||
![]() |
Users of GUESTS are not allowed to comment this publication. | ||









