CodeBookGuy

Here's first try to build a simple simple deep neurons network by using Keras with Theano backend. By using the previous data pickles sample   nonMNist dataset we have saved, here's the completed coding. The summarized deep filter layers can be described as combination of common dense layer with 512 units, relu activation, dropout ratio of 0.2, softmax activation, and RMSprop optimizer. from __future__ import print_function import keras from keras.models import Sequential from keras.layers import Dense, Dropout from keras.optimizers import RMSprop from keras.utils import np_utils import os from six.moves import cPickle as pickle batch_size = 128 num_classes = 10 epochs = 20 def load_data(): test_filename = "notMNIST.pickle" if os.path.exists(test_filename): with open(test_filename, 'rb') as f: letter_dataset = pickle.load(f) return (letter_dataset) lt_dt = load_data() train_dataset = lt_dt['train_...