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Support for convolutional neural network #206
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Yes, InferPy is compatible with Note as well, that an extra dimension is added to the input of the NN with
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Hi, This library is very convenient.
Does this library support convolutional neural networks, such as tfp.layers.Convolution2DFlipout?
nnetwork = inf.layers.Sequential([
tfp.layers.Convolution2DFlipout(.....),
tf.keras.layers.BatchNormalization(),
tf.keras.layers.Activation('relu'),
tf.keras.layers.MaxPooling2D(......),
tf.keras.layers.Flatten(),
tfp.layers.DenseFlipout(......),
tfp.layers.DenseFlipout(........)
])
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