Algoliterary Bibliography

From Algolit

These are the texts which surrounded us during our research days on natural language processing within machine learning.

Neural networks and language

Bias in language

Neural networks and deep learning

General background

Software for Deep Learning and neural networks

Tensorflow has become a major programming framework for neural networks. On the website a range of tutorials can be found to tackle machine learning problems, although for new users it can be useful to read some introductory literature on Tensorflow to grasp better how an algorithm is build up in Tensorflow. Good introductions are:

  • Sam Abrahams, Danijar Hafner, Erik Erwitt, Ariel Scarpinelli, TensorFlow for Machine Intelligence. A Hands-On Introduction to Learning Algorithms. Bleeding Edge Press (2016)
  • Rodolfo Bonnin, Building Machine Learning Projects with TensorFlow. Packt Publishing (2016)
  • Nick McClure, TensorFlow Machine Learning Cookbook. Packt Publishing (2017) (more in-depth but also a slightly steeper learning curve)

Simulation tools