Welcome to the project on How to build low-latency deep-learning-based flask app. In this project, we will refactor the entire codebase of the project [ How to Deploy an Image Classification Model using Flask][1]. That monolithic code will be refactored to form two microservices - the flask service and model service. The model service acts as a server that renders pretrained Tensorflow model as a deep learning API, and keeps listening for any incoming requests. The flask service requests the model service, and displays the response from the model server. This way, we write cleaner code and promote service isolation.
Further …
In any machine learning project, 90% of work is about data extraction, cleaning, preprocessing. This is a very challenging part of the machine learning projects. This skill is must have for any machine learning engineer.
Solve these problems to become very efficient at solving data preprocessing, cleaning, transforming, or extracting using Pandas, Python, and Numpy.
Kids who have been playing Roblox games would love to build Roblox games using Roblox Studio. The coding is done using Lua while making games such as Roblox Jailbreak.
Before starting this I would strongly recommend watching a couple of videos from Roblox official youtube channel: https://www.youtube.com/watch?v=0LiaEDui2vE
This playlist is going to be full of simple questions to make kids learn fundamentals of coding.