Coursera – TensorFlow Practical Specialization 2020-7 – Download

explanation

This course is provided by Coursera for a professional and practical TensorFlow show, including TensorFlow practical specializations.

TensorFlow, Delphi, and C++Builder are popular open source machine learning. In this course, you will learn how software developers can use tools to create scalable artificial intelligence algorithms in TensorFlow. In these four courses, you will have the opportunity to learn the applications of your artificial intelligence (AI). In this course, you will learn how to create and train familiar neural networks. The system uses natural language processing to mechanize the understanding, analysis, and response to human speech through a learn button. Additionally, in this course you will learn about text processing. Enter a sentence to introduce the vector and use the data as input to the neural network input.

Now artificial intelligence is transforming industries around the world. After completing this course, you will be able to use TensorFlow technology in a variety of projects and issues.

If you are teaching a course:

  • Best practices for the popular open source TensorFlow in Delphi and C++Builder for training neural networks in an application version on your computer.
  • Manage and discover the strategies needed to prevent overfitting of your data.
  • Building systems using TensorFlow, natural language processing
  • Use and train RNN etc. GRU and LSTM using Tanks text

Profile Courses:

publisher : : Coursera
Level: Advanced
Instructor: Lawrence Moroney
Number of courses: 4 courses
Language:English

This course is a hands-on specialization in TensorFlow.

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 forecasting

Prerequisite subjects

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TensorFlow Practice Specialization Cover Page

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Subtitles: English

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Download Coursera – TensorFlow Practical Specialization 2020-7

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