TensorFlow for CNNs: Multi-Class Classification

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Dans ce Projet guidé, vous :

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
IntermediateIntermédiaire
CloudAucun téléchargement requis
VideoVidéo en écran partagé
Comment DotsAnglais
LaptopOrdinateur de bureau uniquement

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.

Les compétences que vous développerez

Deep Learningimage classificationConvolutional Neural NetworkTensorflowMulti-class classification

Apprendrez étape par étape

Votre enseignant(e) vous guidera étape par étape, grâce à une vidéo en écran partagé sur votre espace de travail :

  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

Comment fonctionnent les projets guidés

Votre espace de travail est un bureau cloud situé dans votre navigateur, aucun téléchargement n'est requis.

Votre enseignant(e) vous guide étape par étape dans une vidéo en écran partagé

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