Fashion Image Classification using CNNs in Pytorch

oferecido por
Coursera Project Network
Neste projeto guiado, você irá:

Learn How to use Pytorch to create Neural Network Models.

Learn How to build and train Convolutional Neural Networks in Pytorch.

Clock2 hours
IntermediateIntermediário
CloudSem necessidade de download
VideoVídeo em tela dividida
Comment DotsInglês
LaptopApenas em desktop

In this 1-hour long project-based course, you will learn how to create Neural Networks in the Deep Learning Framework PyTorch. We will creating a Convolutional Neural Network for a 10 Class Image Classification problem which can be extended to more classes. We will start off by looking at how perform data preparation and Augmentation in Pytorch. We will be building a Neural Network in Pytorch. We will add the Convolutional Layers as well as Linear Layers. We will then look at how to add optimizer and train the model. Finally, we will test and evaluate our model on test data. The project will get you introduced with Pytorch. You will in the end understand how the framework works and get you started with building Neural Networks in Pytorch. Note: 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.

Habilidades que você desenvolverá

  • Convolutional Neural Network
  • Deep Learning
  • pytorch
  • image classification

Aprender passo a passo

Em um vídeo reproduzido em uma tela dividida com a área de trabalho, seu instrutor o orientará sobre esses passos:

  1. Introduction to the Task, Google Colab, CNNs, Pytorch

  2. Setting up Data preparation & Augmentation using Transforms

  3. Importing & Loading Data

  4. Building the Convolutional Neural Network

  5. Training the Neural Network Model

  6. Testing and Evaluating the Model

Como funcionam os projetos guiados

Sua área de trabalho é um espaço em nuvem, acessado diretamente do navegador, sem necessidade de nenhum download

Em um vídeo de tela dividida, seu instrutor te orientará passo a passo

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