Read on Twitter
27 lessons in Machine Learning for Computer Vision. ~5 minutes each.
For free!
In a month from today, your future might look very different!
Here are the important details:
For free!
In a month from today, your future might look very different!
Here are the important details:
I'll go through the lessons myself. One every day, and I'll report my progress using the #MLU hashtag.
This is the first lesson, so welcome to Day 1 of #MLU! Feel free to follow along.
This is the first lesson, so welcome to Day 1 of #MLU! Feel free to follow along.
Amazon decided to create a YouTube channel full of Machine Learning content from its internal "ML University."
Available to everyone!
I'm taking the Computer Vision course. Most lessons are around 5 minutes (with a few exceptions.)
Channel: https://www.youtube.com/channel/UC12LqyqTQYbXatYS9AA7Nuw
Available to everyone!
I'm taking the Computer Vision course. Most lessons are around 5 minutes (with a few exceptions.)
Channel: https://www.youtube.com/channel/UC12LqyqTQYbXatYS9AA7Nuw
As of today, the channel contains videos for three different courses:
Computer Vision
Natural Language Processing
Tabular Data
I'm starting with Computer Vision.
Computer VisionNatural Language ProcessingTabular DataI'm starting with Computer Vision.
Day 1 of #MLU goes over the topics that will be covered during the course:
Intro to ML and CV
Training Neural Networks and CNNs
Classic CNN architectures
Project: Image classification
Object detection
Semantic segmentation
Transfer learning and AutoML
Intro to ML and CVTraining Neural Networks and CNNsClassic CNN architecturesProject: Image classificationObject detectionSemantic segmentationTransfer learning and AutoML
By the end of the course, you'll have:
Fundamental understanding of ML
Practical knowledge of Computer Vision
Specifically:
Data preprocessing
Common ML algorithms
How to evaluate a model
Model training
Common CV applications
Fundamental understanding of MLPractical knowledge of Computer VisionSpecifically:
Data preprocessingCommon ML algorithmsHow to evaluate a modelModel trainingCommon CV applications
Something really cool: you'll get some hands-on with Amazon SageMaker, which is @awscloud's environment to build and deploy Machine Learning applications.
I spend a lot of time every day using SageMaker. It's pretty cool! You won't want to miss this.
I spend a lot of time every day using SageMaker. It's pretty cool! You won't want to miss this.
How much can you get out of 5 minutes every day?
I'll find out and I'll let you know.
But you don't have to wait and you can join me now.
Let's do this!
I'll find out and I'll let you know.
But you don't have to wait and you can join me now.
Let's do this!
