some questions about ssd.py

[nsknsl]

In ssd.py, I found net['input'] = input_tensor net['conv1_1'] = Convolution2D(64, 3, 3, activation='relu', border_mode='same', name='conv1_1')(net['input'])

I know Convolution2D, but I can not understant it times (net['input']) ,and I did not find this usage in keras's document. Can you provide more details about this? Thank you!

[rykov8]

@nsknsl I believe, you need to read this part of Keras docs.

[hust-kevin]

@rykov8 in your code,what do variances mean !!

priorbox = PriorBox(img_size, 30.0, aspect_ratios=[2], variances=[0.1, 0.1, 0.2, 0.2], name='conv4_3_norm_mbox_priorbox')

look forward your reply,thanks