Chevron Left
返回到 Deep Learning with PyTorch : Build an AutoEncoder

學生對 Coursera Project Network 提供的 Deep Learning with PyTorch : Build an AutoEncoder 的評價和反饋

4.2
11 個評分

課程概述

In these one hour project-based course, you will learn to implement autoencoder using PyTorch. An autoencoder is a type of neural network that learns to copy its input to its output. In autoencoder, encoder encodes the image into compressed representation, and the decoder decodes the representation to reconstruct the image. We will use autoencoder for denoising hand written digits using a deep learning framework like pytorch. This guided project is for learners who want to use pytorch for building deep learning models.Learners who want to apply autoencoder practically using PyTorch. In order to be successful in this project, you should be familiar with python , basic pytorch like creating or defining neural network and convolutional neural network....
篩選依據:

1 - Deep Learning with PyTorch : Build an AutoEncoder 的 3 個評論(共 3 個)

創建者 Bob K

2021年4月21日

創建者 XZS

2021年3月21日

創建者 David H

2021年3月5日