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.
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.
deeplizard demonstrates how to use data augmentation on images using TensorFlow’s Keras API.
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Learn the basics of Data Science in the crash course created by Marco Peixeiro, where you will learn about the theory and code behind the most common algorithms used in data science.
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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.
If you want to learn deep learning and don’t know where to start, here’s a list of free online courses that can help you learn deep learning.
In this deeplizard episode, learn how to prepare and process our own custom data set of sign language digits, which will be used to train our fine-tuned MobileNet model in a future episode.
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deeplizard introduces MobileNets, a class of light weight deep convolutional neural networks that are vastly smaller in size and faster in performance than many other popular models.
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In this video, Mandy from deeplizard demonstrates how to use the fine-tuned VGG16 Keras model that we trained in the last episode to predict on images of cats and dogs in our test set.
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