8.1.1.5. blueoil.layers

8.1.1.5.2. Submodules

8.1.1.5.3. Package Contents

8.1.1.5.3.1. Functions

batch_norm(name, inputs, is_training=tf.constant(False), activation=None, scale=True, *args, **kwargs)

conv2d(name, inputs, filters, kernel_size, strides=1, padding=’SAME’, activation=tf.nn.relu, is_debug=False, *args, **kwargs)

fully_connected(name, inputs, filters, is_debug=False, activation=tf.nn.relu, *args, **kwargs)

max_pooling2d(name, inputs, pool_size, strides=1, padding=’SAME’, is_debug=False, *args, **kwargs)

max_pool_with_argmax(name, inputs, pool_size, strides=1, padding=’SAME’, is_debug=False, *args, **kwargs)

average_pooling2d(name, inputs, pool_size, strides=1, padding=’SAME’, is_debug=False, *args, **kwargs)

blueoil.layers.batch_norm(name, inputs, is_training=tf.constant(False), activation=None, scale=True, *args, **kwargs)
blueoil.layers.conv2d(name, inputs, filters, kernel_size, strides=1, padding='SAME', activation=tf.nn.relu, is_debug=False, *args, **kwargs)
blueoil.layers.fully_connected(name, inputs, filters, is_debug=False, activation=tf.nn.relu, *args, **kwargs)
blueoil.layers.max_pooling2d(name, inputs, pool_size, strides=1, padding='SAME', is_debug=False, *args, **kwargs)
blueoil.layers.max_pool_with_argmax(name, inputs, pool_size, strides=1, padding='SAME', is_debug=False, *args, **kwargs)
blueoil.layers.average_pooling2d(name, inputs, pool_size, strides=1, padding='SAME', is_debug=False, *args, **kwargs)