Keras and Lasagne Deep Learning Tutorials
A collection of deep learning tutorials and implementations using Keras and Lasagne, with a focus on Theano-based frameworks.
What is Keras and Lasagne Deep Learning Tutorials?
Deep Learning is a collection of tutorials and code implementations focused on teaching deep learning using the Keras and Lasagne frameworks. It provides a structured learning path from machine learning basics to advanced topics like recurrent neural networks, with practical examples and explanations. The project aims to help learners understand how to implement neural networks while grasping the underlying concepts of Theano-based frameworks.
Students and developers learning deep learning who want hands-on experience with Keras and Lasagne, particularly those interested in understanding Theano-based implementations. It's suitable for learners with basic Python knowledge and some mathematical background.
It offers a curated, practical approach to learning deep learning with clear progression and framework-specific guidance. Unlike generic tutorials, it provides side-by-side comparisons of Keras and Lasagne implementations and includes specialized content on recurrent networks and AWS GPU setup.
Overview
Deep Learning Resources and Tutorials using Keras and Lasagne
Use Cases
Best For
- Learning deep learning with Keras through practical examples
Related Projects
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
