Learn to implement own models with use of the TensorFlow deep learning framework
Team TensorFlow was founded by enthusiasts that already had some theoretical knowledge in neural networks and wanted to transition themselves into NN-practitioners, expecting a challenging learning curve. We are aware that there are several frameworks for neural networks out there, backed by some major companies, and all of them have assets and drawbacks. We’ve decided to go for TensorFlow, because it’s backed by Google, provides an awesome documentation, a strong community and some freely available third-party resources (like online courses). The framework requires medium-level implementations with a non-negligible level of granularity, but we are expecting this to enforce our skills even better than a implementation with a higher-level abstraction (like Keras).
Our main objective ist to gain experience in implementing and training neural networks with only marginal references to conventional ML algorithms. *Feel free to join us*, some theoretical background in neural networks is recommended.
Contact: Niklas Haas (nikhaφmailbox.org)