Getting Started with Tensorflow 2

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estrelas
7 classificações
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Coursera Project Network
Neste projeto guiado, você irá:

Install and configure Tensorflow 2

Utilize basic Tensorflow 2 functions

Design and train a simple model in Tensorflow 2

Clock2 hours
BeginnerBásico
CloudSem necessidade de download
VideoVídeo em tela dividida
Comment DotsInglês
LaptopApenas em desktop

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.

Habilidades que você desenvolverá

Artificial Neural NetworkMachine LearningTypes Of Artificial Neural NetworksPython ProgrammingTensorflow

Aprender passo a passo

Em um vídeo reproduzido em uma tela dividida com a área de trabalho, seu instrutor o orientará sobre esses passos:

  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

Como funcionam os projetos guiados

Sua área de trabalho é um espaço em nuvem, acessado diretamente do navegador, sem necessidade de nenhum download

Em um vídeo de tela dividida, seu instrutor te orientará passo a passo

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