Chevron Left
Volver a AWS Computer Vision: Getting Started with GluonCV

Opiniones y comentarios de aprendices correspondientes a AWS Computer Vision: Getting Started with GluonCV por parte de Amazon Web Services

4.3
estrellas
16 calificaciones
6 revisiones

Acerca del Curso

This course provides an overview of Computer Vision (CV), Machine Learning (ML) with Amazon Web Services (AWS), and how to build and train a CV model using the Apache MXNet and GluonCV toolkit. The course discusses artificial neural networks and other deep learning concepts, then walks through how to combine neural network building blocks into complete computer vision models and train them efficiently. This course covers AWS services and frameworks including Amazon Rekognition, Amazon SageMaker, Amazon SageMaker GroundTruth, and Amazon SageMaker Neo, AWS Deep Learning AMIs via Amazon EC2, AWS Deep Learning Containers, and Apache MXNet on AWS. The course is comprised of video lectures, hands-on exercise guides, demonstrations, and quizzes. Each week will focus on different aspects of computer vision with GluonCV. In week one, we will present some basic concepts in computer vision, discuss what tasks can be solved with GluonCV and go over the benefits of Apache MXNet. In the second week, we will focus on the AWS services most appropriate to your task. We will use services such as Amazon Rekognition and Amazon SageMaker. We’ll review the differences between AWS Deep Learning AMIs and Deep Learning containers. Finally, there are demonstrations on how to set up each of the services covered in this module. Week three will focus on setting up GluonCV and MXNet. We will look at using pre-trained models for classification, detection and segmentation. During week four and five, we will go over the fundamentals of Gluon, the easy-to-use high-level API for MXNet: understanding when to use different Gluon blocks, how to combine those blocks into complete models, constructing datasets, and writing a complete training loop. In the final week, there will be a final project where you will apply everything you’ve learned in the course so far: select the appropriate pre-trained GluonCV model, apply that model to your dataset and visualize the output of your GluonCV model....

Principales revisiones

DT

Mar 18, 2020

I really liked this class. The labs were fun to do. I am hoping to pass the AWS Machine Learning certification and I am hoping this class got me closer to that goal.

RL

Mar 24, 2020

This has been a wonderful introduction to Computer Vision with GluonCV. Very clear details in each of the videos.

Filtrar por:

1 - 6 de 6 revisiones para AWS Computer Vision: Getting Started with GluonCV

por David T

Mar 18, 2020

I really liked this class. The labs were fun to do. I am hoping to pass the AWS Machine Learning certification and I am hoping this class got me closer to that goal.

por GOUGOUA D A

Jan 28, 2020

It was a great pleasure to learn this course and I recommend it to all.

por Sandeep K L

Mar 30, 2020

This course was harder than the others in-spite of the tremendous effort put in by every instructor and guide. But looking at the topic it was well justified and thus brought in a greater sense of accomplishment and confidence as now I can not just say couple of buzzwords but know that I can develop and deploy stuff on my own. Thank you all for your hard work and it was great struggling though those hands on labs and learning and figuring out the consent step by step. Wish for more such courses from AWS.

por Robert L

Mar 24, 2020

This has been a wonderful introduction to Computer Vision with GluonCV. Very clear details in each of the videos.

por Austin W

Mar 30, 2020

Pretty good for what it is. I think they should create an advanced course on coding an object detector from scratch.

por oleg r

Feb 20, 2020

It seems this company is not honest. They set deadline but don't react on request about problem in company side. It makes me nervous.

When I run script of Lesson 3 Practice Assignment in my AWS no one error occured

but when I uploaded script here it could not download dataset:

Downloading /home/jovyan/.mxnet/datasets/cifar10/cifar-10-binary.tar.gz from https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/dataset/cifar10/cifar-10-binary.tar.gz...

download failed due to ConnectionError(MaxRetryError("HTTPSConnectionPool(host='apache-mxnet.s3-accelerate.dualstack.amazonaws.com', port=443): Max retries exceeded with url: /gluon/dataset/cifar10/cifar-10-binary.tar.gz (Caused by NewConnectionError('<urllib3.connection.VerifiedHTTPSConnection object at 0x7fa78f41c400>: Failed to establish a new connection: [Errno 110] Connection timed out'))")), retrying, 4 attempts left