Automating machine learning with devops

What is AWS Sagemaker ?

Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker removes the heavy lifting from each step of the machine learning process to make it easier to develop high quality models.

Why ML startups fail many times ?

Due to lots of manual process in DL/ML like changing activation functions, layers, etc to find best accuracy this is not possible every time. This problem is solved by sagemaker. But today we will see the backend of sagemaker!

Now let’s try to understand how it works and then we will move to have our own.

Below is a task which we are going to do which is a completely automated deep learning model which will give you feel of sagemaker and then you will understand how it works.

Now you can create image using the command →docker build -t task3:v1 . it will look like this. Read the previous article if you have any problem in making docker image.

link- https://medium.com/@deepanshuyadavv11/task2-launching-docker-server-accourding-to-the-type-of-code-and-sending-email-notification-5d5ec7c651bc