Getting Started with Tensorflow 2

提供:
Coursera Project Network
このガイド付きプロジェクトでは、次のことを行います。

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ダウンロード不要
Video分割画面ビデオ
Comment Dots英語
Laptopデスクトップのみ

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.

あなたが開発するスキル

Artificial Neural NetworkMachine LearningTypes Of Artificial Neural NetworksPython ProgrammingTensorflow

ステップバイステップで学習します

ワークエリアを使用した分割画面で再生するビデオでは、講師がこれらの手順を説明します。

  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

ガイド付きプロジェクトの仕組み

ワークスペースは、ブラウザに完全にロードされたクラウドデスクトップですので、ダウンロードは不要です

分割画面のビデオで、講師が手順ごとにガイドします

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よくある質問

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