add shallow net in keras (effc3882) · Commits · live-training / deep-learning

notebooks/shallow_net_in_keras_LT.ipynb

0 → 100644

+187 −0

Changes for notebooks/shallow_net_in_keras_LT.ipynb: 187 added lines, 0 removed lines.
Original line number	Diff line number	Diff line
		%% Cell type:markdown id: tags:

		# Shallow Neural Network in Keras

		%% Cell type:markdown id: tags:

		Build a shallow neural network to classify MNIST digits

		%% Cell type:markdown id: tags:

		#### Set seed for reproducibility

		%% Cell type:code id: tags:

		``` python
		import numpy as np
		np.random.seed(42)
		```

		%% Cell type:markdown id: tags:

		#### Load dependencies

		%% Cell type:code id: tags:

		``` python
		import keras
		from keras.datasets import mnist
		from keras.models import Sequential
		from keras.layers import Dense
		from keras.optimizers import SGD
		```

		%% Cell type:markdown id: tags:

		#### Load data

		%% Cell type:code id: tags:

		``` python
		(X_train, y_train), (X_test, y_test) = mnist.load_data()
		```

		%% Cell type:code id: tags:

		``` python
		X_train.shape
		```

		%% Cell type:code id: tags:

		``` python
		y_train.shape
		```

		%% Cell type:code id: tags:

		``` python
		y_train[0:99]
		```

		%% Cell type:code id: tags:

		``` python
		X_test.shape
		```

		%% Cell type:code id: tags:

		``` python
		X_test[0]
		```

		%% Cell type:code id: tags:

		``` python
		y_test.shape
		```

		%% Cell type:code id: tags:

		``` python
		y_test[0]
		```

		%% Cell type:markdown id: tags:

		#### Preprocess data

		%% Cell type:code id: tags:

		``` python
		X_train = X_train.reshape(60000, 784).astype('float32')
		X_test = X_test.reshape(10000, 784).astype('float32')
		```

		%% Cell type:code id: tags:

		``` python
		X_train /= 255
		X_test /= 255
		```

		%% Cell type:code id: tags:

		``` python
		X_test[0]
		```

		%% Cell type:code id: tags:

		``` python
		n_classes = 10
		y_train = keras.utils.to_categorical(y_train, n_classes)
		y_test = keras.utils.to_categorical(y_test, n_classes)
		```

		%% Cell type:code id: tags:

		``` python
		y_test[0]
		```

		%% Cell type:markdown id: tags:

		#### Design neural network architecture

		%% Cell type:code id: tags:

		``` python
		# add architecture here
		```

		%% Cell type:code id: tags:

		``` python
		model.summary()
		```

		%% Cell type:code id: tags:

		``` python
		(64*784)
		```

		%% Cell type:code id: tags:

		``` python
		(64*784)+64
		```

		%% Cell type:code id: tags:

		``` python
		(10*64)+10
		```

		%% Cell type:markdown id: tags:

		#### Configure model

		%% Cell type:code id: tags:

		``` python
		# compile model here
		```

		%% Cell type:markdown id: tags:

		#### Train!

		%% Cell type:code id: tags:

		``` python
		# train model here
		```

		%% Cell type:code id: tags:

		``` python
		model.evaluate(X_test, y_test)
		```

		%% Cell type:code id: tags:

		``` python
		```