Sequence Models

Andrew Ng's Sequence Models course is out! Covers RNN, natural language processing, neural machine translation, and more!

The final course in the Coursera Deep Learning track, Sequence Models, was approachable and pretty high quality

Check out Coursera’s “Sequence Models” by deeplearning.ai. It’s taught by Andrew Ng and is a really great course.

https://www.coursera.org/learn/nlp-sequence-models

My favorite were Andrew Ng's lectures: https://www.coursera.org/learn/nlp-sequence-models

He goes into the intuition behind RNNs and word embeddings and goes from there.

As you review those lectures, I would play around with NLTK, Spacey, and Gensim so you can see some of it for yourself.

You probably need a basic intro to LSTMs.

1. check out the course from AndrewNG https://www.coursera.org/learn/nlp-sequence-models
2. to train your model probably you need to use sequence of cursor positions. 1900x1200 is a reference to standard screen size
3. why pseudo-random movement doesn't suit you

Here are some courses I recommend:

• Coursera's Natural Language Processing
• Coursera's Sequence Models
• Coursera's NLP in Tensorflow
• fast.ai's A Code-First Introduction to NLP
• Stanford's CS224n: Natural Language Processing with Deep Learning