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Top AI Libraries Every Software Engineer Should Know
Sometime we are just curious to see how it works, or we want to introduce ourselves to this shiny and trendy world. I’ve got you covered to start your journey as quick as possible and maybe become the next Sam Altman, who knows!
If you are not able to visualise the content until the end, I invite you to take a look here to catch-up!
Reading this article will enable you to use the most popular library used today in AI. You’ll know which one you should pick or at least have an idea if it could fit your needs. Moreover, for each of the library you will learn to make your own model instantly going through image recognition and sentiment analysis. Get your starter code right now!
Go Production Grade with TensorFlow
TensorFlow is developed by Google, and is known to build production grade Machine Learning models that are cross-platform and scalable, many models are directly available using the TensorFlow Hub for faster building. So, keep it in mind if you plan to release your model as a product.
Make your Handwritten Number Recognition Model
First of all, we need to install TensorFlow if it’s not done already typing this in your terminal:
