TensorFlow for CNNs: Learn and Practice CNNs

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Coursera Project Network
在此指导项目中,您将:

Learn the fundamentals of Convolutional Neural Networks

Learn how to build deep learning image classification models

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

Clock2 hours
Intermediate中级
Cloud无需下载
Video分屏视频
Comment Dots英语(English)
Laptop仅限桌面

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 the fundamentals of CNNs, structure, components, and how they work, and you will learn practically how to solve an image classification 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 learned the fundamentals of convolutional neural networks 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 building convolutional 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. 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.

您要培养的技能

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

分步进行学习

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:

  1. Introduction and overview of the project

  2. Understand the Structure of Neural Networks

  3. Components of Convolutional Neural Networks

  4. Import the Dataset and Preprocess the Data

  5. Create and Train the Model

  6. Test the Model and Make Predictions

指导项目工作原理

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

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