Coursera
Paid Course
English
Paid Certificate Available
2 hours worth of material
selfpaced
Overview
Class Central Tips
In this two hour project-based course, you will get to know basic components to create convolutional neural network using pytorch through hands-on tasks. You will learn how to create, train and evaluate a convolutional neural network using pytorch. By the end of this project, you will be able to build and train a convolutional neural network on CIFAR-10 dataset.
This guided project is for learners who want to use pytorch for building deep learning models. Learners who have basic understanding of convolutional neural network and want to apply using a deep learning framework like pytorch. This project provides learners with deep knowledge about the basics of pytorch and its main components.
In order to be successful in this project, you should be familiar with python and neural networks.
This guided project is for learners who want to use pytorch for building deep learning models. Learners who have basic understanding of convolutional neural network and want to apply using a deep learning framework like pytorch. This project provides learners with deep knowledge about the basics of pytorch and its main components.
In order to be successful in this project, you should be familiar with python and neural networks.
Taught by
Parth Dhameliya
