Andreas Spiess teaches us how to connect sensors to a Raspberry Pi and where to get the needed libraries.
Daan de Bruin’s presentation at PyData Eindhoven 2021 shows how Python can be used in the fight against COVID.
Tim Corey walks us through the WebAPI improvements in .NET 5.
In this video, we are going to look at the integration of OpenAPI into the project, how it works, and then why it is so important. We will also look briefly at NSwag and how to use it to generate API clients for our other applications using OpenAPI.
Tim Corey explores five new features of C# 9.0 in this video.
Azure Data Factory is an amazingly powerful tool that can accomplish just about every ETL/ELT task.
In this video, Frank Liu shows how to use the Get Metadata activity to get a list of file names.
Caching can make your website run faster, it can improve your desktop application, and it can reduce the stress on your database.
Basically, if you figure out caching, you can dramatically improve how well your application scales. In this video, we are going to look at how to use Redis to quickly and easily cache our data. I think you will be shocked by how easy this turns out to be.
Tim Corey shows us how to get started.
Fireship explains the fundamentals of Web Assembly in 100 Seconds and why it’s a big deal.
freeCodeCamp.org has made the Practical Deep Learning for Coders is a course from fast.ai available .
This course was created to make deep learning accessible to as many people as possible. The only prerequisite for this course is that you know how to code (a year of experience is enough), preferably in Python, and that you have at least followed a high school math course.
This course was developed by Jeremy Howard and Sylvain Gugger. Jeremy has been using and teaching machine learning for around 30 years. He is the former president of Kaggle, the world’s largest machine learning community. Sylvain Gugger is a researcher who has written 10 math textbooks.
deeplizard demonstrates how to use data augmentation on images using TensorFlow’s Keras API.
VIDEO SECTIONS
- 00:00 Welcome to DEEPLIZARD – Go to deeplizard.com for learning resources
- 00:17 Introduction to Data Augmentation
- 01:32 Image Augmentation with Keras
- 08:16 Collective Intelligence and the DEEPLIZARD HIVEMIND
In this episode, Mandy from deeplizard will be building on what we’ve learned about MobileNet combined with the techniques we’ve used for fine-tuning to fine-tune MobileNet for a custom image data set using TensorFlow’s Keras API.