MATLAB: How to save transfer learning result

# how to save result transfer learning

i have done retrained for transfer learning and get the result . and my questions is , what is the coding to save the result base on efficiency . and how to read the result again ?

Best Answer

save filename;

Related Solutions

MATLAB: How to continue training a DQN agent in the reinforcement learning toolbox

Hi James,

It looks like the experience buffer is the culprit here. Have a look at this question for a suggestion. Pretty much you need to make sure you also save the experience buffer when you stop training. I would also recommend reducing the size of the experience buffer just enough to reduce memory utilization and make it feasible to train in one go.

MATLAB: Can we only train the classification layer when do transfer learning of a pre-trained network

In order to freeze the weights of a particular layer of your network set the properties WeightLearnRateFactor & BiasLearnRateFactor to zero. Refer to fullyconnectedLayer - Learn Rate and Regularization, convolution2dLayer - Learn Rate and Regularization & lstmLayer - Learn Rate and Regularization.

layer.WeightLearnRateFactor = 0;

You can also refer to Freeze Initial Layers of the Train Deep Learning Network to Classify New Images example.

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Related Solutions

MATLAB: How to continue training a DQN agent in the reinforcement learning toolbox

MATLAB: Can we only train the classification layer when do transfer learning of a pre-trained network

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