Dear Students and Subscribers,
It's finally July and it's never been a better time to start learning how to develop AI projects. In this edition, you will learn why Deep Learning is one of the most important topics to master right now. Deep Learning is the foundation of the biggest advances in AI today. You can also dive in and learn how AI is being used within finance and how to use open-source tools to develop AI projects. We also have new AI coding tutorials and updates on our hands-on AI programming course content.
Finally, I will start with what is probably one of the most fascinating developments in AI in the last few months. Both OpenAI (DALL-E2) and quickly after Google (Imagen) released a super-powerful text-to-image AI. They enable you to write a short description of what you need and voila, the AI creates the art/photo for you. The images are incredible and this technology will test our definition of art and also potentially create a new breed of AI artists. Check out the images using the links above for yourself. What an exciting time for AI!
Have a great weekend and don't forget to learn something this weekend!
Jacob - Founder LeakyAI - learn AI, less theory, more coding
P.S. If you know anyone that would benefit from learning about AI, please forward this to them, they can sign up here: www.leaky.ai/signup
If you are a software engineer, deep learning is the most important technology for you to learn now. Why? Because deep learning is powering all of the latest advances in AI and machine learning. If you want to stay ahead of the curve, deep learning is essential. But don’t worry – it’s not too late to start. In this blog post, we will provide an introduction to deep learning and outline some resources for learning more.
If you're a software developer, you know that A.I. is all the rage right now. Everybody is talking about it, and there are lots of opportunities to use it in your work. But did you know that A.I. can also be used in finance? In this blog post, I'm going to show you how AI is used in finance, discuss some of the risks and mitigation techniques as well as provide you with some resources to learn more. Let's get started!
A.I. is everywhere and has become a critical part of many businesses. The good news is that it's no longer reserved for experts in the field. Industry-leading frameworks like PyTorch and Tensorflow have made it possible for anyone with coding skills to build AI projects. In this blog post, we will show you how to get started quickly with some simple tutorials. We'll also introduce you to some of the latest AI trends and explain how you can use open-source tools to leverage them in your business.
New Coding Tutorials - PyTorch, Python
In this tutorial, you will get an overview of the PyTorch Dataloader commonly used for creating mini-batches, speeding up the training process and automatic data shuffling. You will be given several examples of how to use PyTorch Dataloaders and explore settings including dataset, batch_size, shuffle, num_workers, pin_memory and drop_last.
For all our active students, we have made a lot of updates to our Hands-on Programming Course. One of the biggest is a fully revised training and inference section teaching you everything you need to build your own custom PyTorch training code. Also our PyTorch Cheat Sheet has been updated with the latest version of PyTorch. To download it, login and head over to your course landing page and click Cheat Sheets.
This is one of the best times to learn AI and build your skillsets as a developer. Deep Learning is by far one of the most important areas of AI and powering all the latest breakthroughs. AI as applied to finance is also getting more understood along with the risks and how to mitigate them. Finally, there is an ever-growing ecosystem of open source tools that will speed-up project development. Now is one of the best times to be a developer and adding AI to your skillset is a simple way to stay competitive and be in high demand.
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