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Commit e2c94098 authored by tomrink's avatar tomrink
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parent 6332f7e4
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......@@ -118,7 +118,7 @@ def build_conv2d_block(conv, num_filters, activation, block_name, padding='SAME'
with tf.name_scope(block_name):
skip = conv
conv = tf.keras.layers.Conv2D(num_filters, kernel_size=5, strides=1, padding=padding, activation=activation)(conv)
conv = tf.keras.layers.Conv2D(num_filters, kernel_size=3, strides=1, padding=padding, activation=activation)(conv)
conv = tf.keras.layers.MaxPool2D(padding=padding)(conv)
conv = tf.keras.layers.BatchNormalization()(conv)
print(conv.shape)
......
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