Getting Started with Tensorflow 2

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Coursera Project Network
在此指導項目中,您將:

Install and configure Tensorflow 2

Utilize basic Tensorflow 2 functions

Design and train a simple model in Tensorflow 2

Clock2 hours
Beginner初級
Cloud無需下載
Video分屏視頻
Comment Dots英語(English)
Laptop僅限桌面

By the end of this project you will be introduced to Tensorflow from the ground up. Tensorflow is an extremely popular free and open source machine learning framework developed by Google. Using Tensorflow, developers can utilize the power of deep learning to create applications with features of artificial intelligence, such as natural language processing, object/image recognition, and prediction of continuous variables. We'll practice the basics, including installation, and finally we will build our own simple Tensorflow model. Your Tensorflow journey begins here! The methods you will learn in the course of this project will enable you to build learning agents for any potential purpose and provide valuable experience in your Machine Learning and Artificial Intelligence development journey. Python experience is heavily recommended. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

您要培養的技能

Artificial Neural NetworkMachine LearningTypes Of Artificial Neural NetworksPython ProgrammingTensorflow

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

  1. Understanding Tensors

  2. Installing Tensorflow 2

  3. Discovering the Basics of Tensorflow and Basic Computations

  4. Implementing Gradient Descent with Autodiff

  5. Developing a Model Structure

  6. Creating Custom Modules and Importing Datasets

  7. Build, Train, and Evaluate ANN Model

  8. Visualizing and Saving Models

指導項目工作原理

您的工作空間就是瀏覽器中的雲桌面,無需下載

在分屏視頻中,您的授課教師會為您提供分步指導

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