NN from scratch. data preparation

nn_dataprep.py

import pandas as pd
import matplotlib.pyplot as plt
from sklearn.datasets import load_digits
from sklearn.model_selection import train_test_split

%matplotlib inline

dig = load_digits()
plt.gray()
plt.matshow(dig.images[25])

onehot_target = pd.get_dummies(dig.target)

x_train, x_val, y_train, y_val = train_test_split(dig.data, onehot_target, test_size=0.1, random_state=20)
# shape of x_train :(1617, 64)
# shape of y_train :(1617, 10)