neocognitron

Testing the neocognitron (1979) on MNIST digits (1998).

Using the neocognitron implementation from: https://github.com/altugkarakurt/NeuralHDR

What does it do?

It fowards 10 images (0-9) of each MNIST digit, and then finally predicts the number 5 image.

for i in range(10):
	neocognitron.estimate(mnist[i])

neocognitron.estimate(mnist[5])

The output is an array of 10 values, where the index of the highest value is the predicted digit.

[0.6679867, 0.6678071, 0.6658286, 0.6665703, 0.6675671, 0.6624054, 0.6684094, 0.665012, 0.6660348, 0.6659308]

Usage:

Tune hyperparameters in test.py

N = Number of digits for forwarding (has to be 10 or more, divisible by 10)
NUMBER_TO_PREDICT = Number to predict (0 - 9)

And then:

python test.py

Requirements

• numpy
• tensorflow
• matplotlib
• opencv-python
• tqdm