TensorFlow for AI: Neural Network Representation

4.3
15件の評価
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。

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

Clock1.5 hours
Intermediate中級
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

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.

あなたが開発するスキル

  • Deep Learning
  • Artificial Neural Network
  • Python Programming
  • Tensorflow
  • keras

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. 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

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

よくある質問

よくある質問

さらに質問がある場合は、受講者ヘルプセンターにアクセスしてください。