1. Final thoughts
Congrats. You are on your way to using the most fun and powerful modeling technique around.
2. Next steps
There is still an immense amount to learn as you become a deep learning master. But it's like riding a bike. The hardest part is getting to the point where you can practice on your own, and you are there. You'll probably enjoy experimenting with deep learning using the same types of data you've used before for predictive modeling, tables of numeric data like what you commonly see in a pandas DataFrame or numpy array. From there, many people start working with images, using something called convolutional neural networks. But you could decide you want to focus on text. Or sound. Or you might get creative and apply deep learning to data others haven't even thought of. You'll find it's a powerful technique as you get the hang of it. Kaggle is a great place to find datasets to work with, and their forums are a great place to keep learning. As you get more advanced, start checking out the wikipedia page titled "List of datasets for machine learning research." It includes datasets from some very interesting domains. Keras has excellent documentation. When there's something specific to look up, keras-dot-io is likely to have the answer. The Keras and TensorFlow repositories on GitHub also have nice examples to work from. As you start working with larger datasets and more complex deep learning models, you may find these models can take a long time to fit. If you have a computer with a graphical processing unit, or GPU, you may be able to set up TensorFlow to use that GPU for computation. This generally requires a GPU that meets a standard called CUDA compatibility. Most GPU's made by NVIDIA are CUDA compatible. If you don't have a computer with a CUDA compatible GPU, here is a link with instructions about setting up a deep learning environment in the cloud that can run your models on a GPU. More than anything, share your work online, and have fun. If you keep experimenting and build out on the tools you've learned, you'll soon be amazed at what you can do.
3. Let's practice!