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Hope you will find the content here useful. You can find some basic info on recurrent neural networks.
Besides that, I will include further learning possibilities and interesting links for blog posts/videos/learning material
So if the tutorials got you interested, feel free to explore further on your own 🤓
A platform where you can find various datasets, along with codes, discussions, educational notebooks (tutorials), competitions and short tutorials.
If you don't like long tutorials, kagge got you covered, with relatively short ones, which will introduce you to Python, data visualization, basics of machine and deep learning, etc... Give it a try 🙂
Also people (who are very often data scientist and ML engineers) write really nice tutorials on various things, which mostly have "EDA" in their name, so just find one and go through it, maybe?
NASA's bearings anomaly detection - https://www.kaggle.com/rkuo2000/sensor-anomaly-detection
ECG classification (different dataset) - https://www.kaggle.com/polomarco/ecg-classification-cnn-lstm-attention-mechanism
Really nice EDA notebooks on data exploration - https://www.kaggle.com/kaanboke/code
Free deep learning courses (with some really good tips that will get you started) 😉
https://github.com/fastai/fastbook
The international telecommunication union is doing seminars on various topics, where ML/DL can be applied, included the 5G and 6G systems. Even if you are not interested in looking at the videos/presentations, I recommend checking the various topics to get an overview what you can do with neural networks.
https://www.youtube.com/c/AIforGood
https://aiforgood.itu.int/programme/
AI/ML in 5G challenge just finished it's second year and third is already planned, so if you would like to how to apply ML/DL in wireless communications, feel free to get inspired 🙂
And you can also be a part of it either as a challenge organizer or a competitor...
https://aiforgood.itu.int/about/aiml-in-5g-challenge/
https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/ - Lovely to begin with
https://www.manning.com/books/deep-learning-with-python
https://www.manning.com/books/deep-learning-with-pytorch?query=deep%20learning%20with%20pytorch