Coursera – TensorFlow in Practice Specialization 2020-7 – Download
Description
TensorFlow in Practice Specialization etc. Course offered by Coursera for specific and practical TensorFlow shows.
TensorFlow, Delphi, and C++Builder are popular open source machine learning solutions. In this course, you’ll learn how to use the tools software developers use to build scalable artificial intelligence algorithms in TensorFlow. In these 4 courses you will have the opportunity to learn the application of artificial intelligence (AI) available to you. In this course you will learn how to create and train familiar neural networks. Their systems use natural language processing to enable machine understanding, analysis and response to human language. Also, in this course, you will learn that word processing in. Sets for vector introduction, and use the data as input to input into the neural network.
Now artificial intelligence is transforming industries around the world. After completing this course, you will be able to use TensorFlow’s capabilities in a variety of projects and issues.
Cases in which the course is taught:
- The best method in Delphi and C++Builder, the popular open source TensorFlow, to train the neural network in the application version of the computer
- Management and discover the necessary strategies to avoid overfitting the data.
- Build systems and natural language processing using TensorFlow
- Using and training RNNs etc. GRUs and LSTMs using Tanks text
Profile courses:
Publisher: : Coursera
Level: Advanced
Lecturer: Laurence Moroney
Number of courses: 4 courses
Language: English
This course TensorFlow in practice specialization
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
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Download Coursera – TensorFlow in Practice Specialization 2020-7
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