# re initialize weights keras

**The solution for “re initialize weights keras” can be found here. The following code will assist you in solving the problem.**

```
Save the initial weights right after compiling the model but before training it:
```model.save_weights(‘model.h5’)

and then after training, “reset” the model by reloading the initial weights:

model.load_weights(‘model.h5’)

This gives you an apples to apples model to compare different data sets and should be quicker than recompiling the entire model.

```
```

` `

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