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Implement Convolutional Neural Networks in Keras with TensorFlow backend
Train Convolutional Neural Networks to solve Image Classification
In this 1-hour long project-based course, you will learn how to create a Convolutional Neural Network (CNN) in Keras with a TensorFlow backend, and you will learn to train CNNs to solve Image Classification problems. In this project, we will create and train a CNN model on a subset of the popular CIFAR-10 dataset. This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your Internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with (e.g. Python, Jupyter, and Tensorflow) pre-installed. Prerequisites: In order to be successful in this project, you should be familiar with python and convolutional neural networks. Notes: - You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want. - 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.
CNN
Deep Learning
Machine Learning
Computer Vision
keras
在与您的工作区一起在分屏中播放的视频中，您的授课教师将指导您完成每个步骤：
Import Libraries
Preprocess Data
Visualize Examples
Create Model
Train the Model
Final Predictions
您的工作空间就是浏览器中的云桌面，无需下载
在分屏视频中，您的授课教师会为您提供分步指导
由 PA 提供
May 18, 2020it was short n up to the mark, fully hands on and i came to know many new terms and their working. as it is a 1 hr assignment, this is just sufficient and satisfactory for beginners.
由 MM 提供
Sep 29, 2020Rhyme interface is very bad and slow, I would not pay for courses on rhyme if it were not sponsored by my college\n\nVery good content though for a begginer
由 VN 提供
Aug 10, 2020This is a very good guided project. I thank Amit Yadav and Coursera for his teaching in Image Classification with CNNs using Keras.\n\nThank You
由 SB 提供
Jun 2, 2020Really enjoyed learning from Amit Yadav. He promptly answers any query posted in the discussion forum. Looking forward to learning more from him.
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是，您可以在浏览器的云桌面中获得完成指导项目所需的一切。
您可以直接在浏览器中于分屏环境下完成任务，以此从做中学。在屏幕的左侧，您将在工作空间中完成任务。在屏幕的右侧，您将看到有授课教师逐步指导您完成项目。
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