hdf5 check weights

.>>> import h5py
>>> file_name = "resnet_003.hdf5"
>>> f = h5py.File(file_name, 'r')
>>> group=f["model_weights"]
>>> for key in group.keys():
...    print(key)
...
...
activation_1
activation_10
activation_11
activation_12
activation_13
activation_14
activation_15
activation_16
activation_17
activation_2
activation_3
activation_4
activation_5
activation_6
activation_7
activation_8
activation_9
add_1
add_2
add_3
add_4
add_5
add_6
add_7
add_8
avg_pool
block_1a_conv_1
block_1a_conv_2
block_1a_conv_shortcut
block_1b_conv_1
block_1b_conv_2
block_2a_conv_1
block_2a_conv_2
block_2a_conv_shortcut
block_2b_conv_1
block_2b_conv_2
block_3a_conv_1
block_3a_conv_2
block_3a_conv_shortcut
block_3b_conv_1
block_3b_conv_2
block_4a_conv_1
block_4a_conv_2
block_4a_conv_shortcut
block_4b_conv_1
block_4b_conv_2
conv1
flatten
input_1
predictions
>>> group['conv1']['conv1_1']
<HDF5 group "/model_weights/conv1/conv1_1" (1 members)>