Description
TensorFlow in Practice specialization courses, etc. offered by Coursera, intended for specialized and practical TensorFlow emissions.
TensorFlow Delphi and C++ Builder popular open source machine learning is. In this course learn how to use the tools that software developers to make scalable artificial intelligence algorithms in TensorFlow they use. In these 4 courses, you have the opportunity, and go, to learn the application of artificial intelligence (AI) at your disposal. In this course, you will learn how to create and train neural networks that will be familiar to you. Your systems use natural language processing for machine understanding, parsing and responding to speech using the Learn button. In this course, you also learn word processing. sentences for vector input and use the data as input to the neural network.
Today, artificial intelligence is transforming industries around the world. After completing this course, you can use TensorFlow skills in a wide range of projects and problems.
Cases in which the course is taught:
- The best method in Delphi and C++Builder popular open source TensorFlow to train the neural network in computer application version
- Manage and discover the strategies needed to avoid data overfitting
- Building systems, natural language processing with the use of TensorFlow
- Use and training of RNNs, etc. GRU and LSTM with the use of Tanks text
Profile courses:
Publisher:: Coursera
Advanced level
Teacher: Laurence Moroney
Number of lessons: 4 lessons
French language
This TensorFlow Specialization course in practice
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
Convolutional Neural Networks, in TensorFlow
Natural language processing in TensorFlow
Sequences, time series and prediction
Prerequisite course
Pictures
sample movie
Installation guide
After extracting with the player, your custom view.
Subtitles: English
Quality: 720p
Download link
Download Coursera – TensorFlow in Practice Specialization 2020-7
Password file(s): ngaur.com
File size
0.99 GB