Data Science Asked on September 28, 2021
model summary:
RuntimeError: You must compile your model before using it.
It says that the model needs to be compiled. But as far i know, if i compile a model, all the previous trained data will be lost, and the model will be trained from scratch. I don’t want this to happen because i want to use this model for further re-training purposes. Can you help me in this.
Can I re-train the model without compiling it and ,save it and use this model for future training ?
There 2 techniques while using the pre-train model
1. Transfer learning: In the case of transfer learning, we use the pre-train model to train on new kind of dataset so generally, remove the last layer and add a new layer into the network. At this point, as you are adding a new layer the model should be compiled. But don't worry if you are compiling it then weights will not be lost.
2. Retraining (I guess this is your case): As you are not modifying the architecture but just training it on additional dataset then also it is not going to loose weights.
Answered by Swapnil Pote on September 28, 2021
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