Exploring Artificial Intelligence and in practice, with several network architectures implemented on the fly in a live coding session. In this talk we went through Shallow / Intermediate / Deep / Convolutional and Residual Networks. Showing the differences in hyperparameters tuning, which to use and when.
In addition, also how they came to life though the mind of computer scientists like Geoffrey Hinton, Yoshua Bengio, Xavier Glorot and Adam Coates.
The code presented in this talk can be found here: https://github.com/ekholabs/DLinK