Learning to add with LSTM
Using long-short term layers to learn to add.
In this section you’ll find recipes in diverse AI domains and various frameworks. Everything from eigenfaces in TensorFlow over sentiment analysis with MXNet and tennis reinforcement learning with Torch. Some recipes use R, some Mathematica, mostly Python. It’s a mixed bag but we have taken much care to make sure the recipes work out of the box and can be used as a stepping stone. A lot of the code is cooked with bits and pieces from Github and Stackoverflow. We don’t pretend any ownership or originality.
Using G-drive files in colaboratory
How to import files into the colab VM.
