TensorFlow for CNNs: Multi-Class Classification

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在此指导 项目中,您将:

Learn how to build a Multi-Class Classification algorithm

Learn how to use a pre-trained model to build an image classifier

Learn how to create a convolutional neural network 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 how to build a multi-class Classifier in CNNs using a pre-trained model trained on the much larger dataset, and you will learn practically how to solve a multi-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 how to build a multi-class classifier in 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 multi-class classifier using 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 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.

您要培养的技能

Deep Learningimage classificationConvolutional Neural NetworkTensorflowMulti-class classification

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. Import Libraries and Select the Module

  3. Setup the dataset with Augmentation

  4. Train the model and Visualize Results

  5. Test the model on Validation Data

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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