This depot contain tutorials for real beginners who want to understand machine learning by reading some code.
|size (curr.)||2573 kB|
|license||BSD 2-Clause “Simplified” License|
Machine learning tutorial from scratch.
This depos contains some tutorials for real beginners who want to understand machine learning by reading some code.
Minimal character-level Vanilla RNN model, explained in a notbook
RNN stand for “Recurent Neural Network”.
To understand why RNN are so hot you must read this!
This notebook to explain the Minimal character-level Vanilla RNN model written by Andrej Karpathy
This code create a RNN to generate a text, char after char, by learning char after char from a textfile.
I love this character-level Vanilla RNN code because it doesn’t use any library except numpy. All the NN magic in 112 lines of code, no need to understand any dependency. Everything is there! I’ll try to explain in detail every line of it. Disclamer: I still need to use some external links for reference.
Minimal character-level TensorFlow RNN model
Character-level TensorFlow RNN model.
Linear regression with Tensor Flow.
This notebook to start with tensor flow, using a simple example from Aymeric Damien
Fizz Buzz with Tensor Flow.
His code try to play the Fizz Buzz game by using machine learning.
Temperature is a concept that is used when you need to generate a random number from a probability vector but want to over empasis samples that have the highest probability.
This notebook show the effects in practice.