TensorFlow for AI: Neural Network Representation

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提供方
在此指導項目中,您將:

Learn how to build a real-world deep learning model

Learn how to create a convolutional neural network from Scratch with Tensorflow

Learn how to create, train, and test a convolutional neural network with Tensorflow

1.5 hours
中級
無需下載
分屏視頻
英語(English)
僅限桌面

This guided project course is part of the "Tensorflow for AI" series, and this series presents material that builds on the first course of DeepLearning.AI TensorFlow Developer Professional Certificate, which will help learners reinforce their skills and build more projects with Tensorflow. In this 1.5-hour long project-based course, you will learn practically how to work on a deep learning task in the real world and create, train, and test a neural network with Tensorflow using real-world images, and you will get a bonus deep learning exercise implemented with Tensorflow. By the end of this project, you will have created a deep neural network with TensorFlow on a real-world dataset. This class is for learners who want to use Python for building neural networks with TensorFlow, and for learners who are currently taking a basic deep learning course or have already finished a deep learning course and are searching for a practical deep learning project with TensorFlow project. Also, this project provides learners with further knowledge about creating and training convolutional neural networks and improves their skills in Tensorflow which helps them in fulfilling their career goals by adding this project to their portfolios.

您要培養的技能

  • Deep Learning

  • Artificial Neural Network

  • Python Programming

  • Tensorflow

  • keras

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. Introduction and overview of the project

  2. Import and explore the dataset

  3. Build a neural network model from scratch

  4. Data preprocessing and training the model

  5. Visualizing intermediate representations

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

常見問題

購買指導項目後,您將獲得完成指導項目所需的一切,包括通過 Web 瀏覽器訪問云桌面工作空間,工作空間中包含您需要了解的文件和軟件,以及特定領域的專家提供的分步視頻說明。

由於您的工作空間包含適合筆記本電腦或台式計算機使用的雲桌面,因此指導項目不在移動設備上提供。

指導項目授課教師是特定領域的專家,他們在項目的技能、工具或領域方面經驗豐富,並且熱衷於分享自己的知識以影響全球數百萬的學生。

您可以從指導項目中下載並保留您創建的任何文件。為此,您可以在訪問云桌面時使用‘文件瀏覽器’功能。

指導項目不符合退款條件。 請查看我們完整的退款政策

指導項目不提供助學金。

指導項目不支持旁聽。

您可在頁面頂部點按此指導項目的經驗級別,查看任何知識先決條件。對於指導項目的每個級別,您的授課教師會逐步為您提供指導。

是,您可以在瀏覽器的雲桌面中獲得完成指導項目所需的一切。

您可以直接在瀏覽器中於分屏環境下完成任務,以此從做中學。在屏幕的左側,您將在工作空間中完成任務。在屏幕的右側,您將看到有授課教師逐步指導您完成項目。