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For neural network theory, I'm very fond of http://neuralnetworksanddeeplearning.com, but you'll need calculus and some linear algebra to understand it. Source: 5 months ago
Alternatively, building them from scratch in numpy is definitely possible and an excellent way to learn the fundamentals. It will take some time though (debugging issues with a hand-rolled LSTM is very, very painful). There's a zillion tutorials/books out there (I think I started with http://neuralnetworksanddeeplearning.com). Source: 5 months ago
- http://neuralnetworksanddeeplearning.com/ The Watch the Caltech telecourse. - Source: Hacker News / 8 months ago
Neural Networks and Deep Learning, a free online book. http://neuralnetworksanddeeplearning.com/. - Source: Hacker News / 10 months ago
Many years ago I was studying deep learning using this resource: * http://neuralnetworksanddeeplearning.com/ I decided to try to implement everything from scratch in Elixir (after initially doing all the math with pen and paper on a trivial example to get the feel of it). Obviously pure elixir was extremely slow, so I started creating NIFs to pass over matrix multiplication to OpenBLAS. Then I was thinking more... - Source: Hacker News / 11 months ago
Building an AI solution requires more than just one person. You need a team of experts who can work together efficiently and creatively. That’s why you need a platform that supports collaboration and communication among your AI team members. Azure Machine Learning Studio is not only a powerful infrastructure for computation and technical tasks, but also a management tool that helps you organize and streamline your... - Source: dev.to / 10 months ago
I'm biased, but giving my honest personal opinion here, I think this sounds like a bad idea. I'm not optimistic about Databricks long term. They are a data prep company masquerading as a data science company. Nothing wrong with that, but Spark resources are expensive compared with SQL, and they are at risk from all fronts (Cloud providers, Snowflake, AI/ML platform players, etc.). I see their Databricks controlled... Source: about 2 years ago
Azure Machine Learning An enterprise-grade service for the end-to-end machine learning life cycle that allows you to build models at scale. - Source: dev.to / about 2 years ago
Azure Machine Learning (specifically for Energy and Manufacturing. Source: about 3 years ago
Colornet - Neural Network to colorize grayscale images
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Quick Draw Game - Can a neural network learn to recognize doodles?
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
AETROS - Create, train and monitor deep neural networks
NumPy - NumPy is the fundamental package for scientific computing with Python