1 |
Deep Learning ideas that have stood the test of time |
2 |
Building AI Trading Systems |
3 |
Replication Issues in AI research |
4 |
Learning to Trade with Reinforcement Learning |
5 |
AI and Deep Learning in 2017 – A Year in Review |
6 |
Learning Reinforcement Learning |
7 |
RNNs in Tensorflow - A Practical Guide and Undocumented Features |
8 |
Deep Learning for Chatbots, Part 2 – Implementing a Retrieval-Based Model in Tensorflow |
9 |
Deep Learning for Chatbots, Part 1 – Introduction |
10 |
Attention and Memory in Deep Learning and NLP |
11 |
Implementing a CNN for Text Classification in TensorFlow |
12 |
Understanding Convolutional Neural Networks for NLP |
13 |
Recurrent Neural Network Tutorial, Part 4 – Implementing a GRU and LSTM RNN with Python and Theano |
14 |
Recurrent Neural Networks Tutorial, Part 3 – Backpropagation Through Time and Vanishing Gradients |
15 |
Recurrent Neural Networks Tutorial, Part 2 – Implementing a RNN with Python, Numpy and Theano |
16 |
Recurrent Neural Networks Tutorial, Part 1 – Introduction to RNNs |
17 |
Speeding up your Neural Network with Theano and the GPU |
18 |
Implementing a Neural Network from Scratch in Python |