opensource/manim
1
0
Fork 0
mirror of https://github.com/3b1b/manim.git synced 2025-07-29 13:03:31 +08:00
Code Issues Packages Projects Releases Wiki Activity

After running 2to3

Browse Source
This commit is contained in:
Grant Sanderson
2018-08-09 17:56:05 -07:00
parent 06a65190e7
commit 858051a806
172 changed files with 2117 additions and 2221 deletions
Download Patch File Download Diff File Expand all files Collapse all files

10
old_projects/nn/mnist_loader.py
View File

@ -10,7 +10,7 @@ function usually called by our neural network code.
#### Libraries
# Standard library
import cPickle
import pickle
import gzip
# Third-party libraries
@ -40,7 +40,7 @@ def load_data():
below.
"""
f = gzip.open('/Users/grant/cs/neural-networks-and-deep-learning/data/mnist.pkl.gz', 'rb')
training_data, validation_data, test_data = cPickle.load(f)
training_data, validation_data, test_data = pickle.load(f)
f.close()
return (training_data, validation_data, test_data)
@ -68,11 +68,11 @@ def load_data_wrapper():
tr_d, va_d, te_d = load_data()
training_inputs = [np.reshape(x, (784, 1)) for x in tr_d[0]]
training_results = [vectorized_result(y) for y in tr_d[1]]
training_data = zip(training_inputs, training_results)
training_data = list(zip(training_inputs, training_results))
validation_inputs = [np.reshape(x, (784, 1)) for x in va_d[0]]
validation_data = zip(validation_inputs, va_d[1])
validation_data = list(zip(validation_inputs, va_d[1]))
test_inputs = [np.reshape(x, (784, 1)) for x in te_d[0]]
test_data = zip(test_inputs, te_d[1])
test_data = list(zip(test_inputs, te_d[1]))
return (training_data, validation_data, test_data)
def vectorized_result(j):