combining two neural networks (net1 is trained & net2 is untrained) in one bigger network
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Abdelwahab Afifi
le 10 Jan 2020
Commenté : Russdsp
le 11 Juin 2021
I have two shallow neural network models net1, net2.
I have a trained net1. Then I need to connect a net2 to a net1. Hence I treat the combined (net2+net1) as one large net and then train the big net . However, during the second training phase, we only need to update the weights corresponding to net2 (and keep net1 weights fixed). Is it possible in MATLAB? any suggested links or articles to perform this part.
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Xin Yee Tai
le 14 Juil 2020
Could you please share the code to build the neural network on the last photo? Thank you.
Russdsp
le 11 Juin 2021
Yes please share code. the green box in the middle doesnt seem like a layer- how is that there?
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Greg Heath
le 12 Jan 2020
Just
1. Save the outputs of net1 in a file
2. Use the file to train net2
Greg
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Beatriz Martins
le 12 Jan 2020
Modifié(e) : Beatriz Martins
le 12 Jan 2020
Greg Heath,
I am trying to save the output of a net1 and use it to train net2. However, during training of net1 the trainFasterRCNNObjectDetector function added new layers (initially I have 25 layers and the output of net1 has 35) and I get an invalid network. Do you know how can I solve this problem?
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