TensorFlow for CNNs: Object Recognition

4.3
26 個評分
提供方
Coursera Project Network
在此指導項目中,您將:

Learn the fundamentals of Object Recognition algorithms

Learn how to build deep learning object recognition models

Learn how to create a convolutional neural network with Tensorflow

Clock2 hours
Intermediate中級
Cloud無需下載
Video分屏視頻
Comment Dots英語(English)
Laptop僅限桌面

This guided project course is part of the "Tensorflow for Convolutional Neural Networks" series, and this series presents material that builds on the second course of DeepLearning.AI TensorFlow Developer Professional Certificate, which will help learners reinforce their skills and build more projects with Tensorflow. In this 2-hour long project-based course, you will learn In this project, you will learn practically how to build an object recognition model in computer vision with real-world applications, and you will create your own object recognition algorithm with TensorFlow using real data, and you will get a bonus deep learning exercise implemented with Tensorflow. By the end of this project, you will have learned the fundamentals of object recognition and created a deep learning model with TensorFlow on a real-world dataset. This class is for learners who want to learn how to work with convolutional neural networks and use Python for solving object recognition tasks 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. 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
  • Convolutional Neural Network
  • Object Recognition
  • Tensorflow
  • Computer Vision

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 Libraries and Download the Dataset

  3. Setup Data Dimensions and Plot Images

  4. Data preparation and configuration of the Model

  5. Create and Build the Neural Network

  6. Train the Neural Network

  7. Visualize the Results and Test the Model

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

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