Getting Started with Tensorflow 2

ofrecido por
Coursera Project Network
En este Proyecto guiado, tú:

Install and configure Tensorflow 2

Utilize basic Tensorflow 2 functions

Design and train a simple model in Tensorflow 2

Clock2 hours
CloudNo se necesita descarga
VideoVideo de pantalla dividida
Comment DotsInglés (English)
LaptopSolo escritorio

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 desarrollarás

Artificial Neural NetworkMachine LearningTypes Of Artificial Neural NetworksPython ProgrammingTensorflow

Aprende paso a paso

En un video que se reproduce en una pantalla dividida con tu área de trabajo, tu instructor te guiará en cada paso:

  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

Cómo funcionan los proyectos guiados

Tu espacio de trabajo es un escritorio virtual directamente en tu navegador, no requiere descarga.

En un video de pantalla dividida, tu instructor te guía paso a paso

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