jefferyUstc / MnistOnKeras

Implemention of lightweight CNN Model on Mnist Dataset,try to include as more as possible features that I learn from keras, by the way,compare to tensorflow.hope to give a good learning example.

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MnistOnKeras

Implemention of lightweight CNN Model on Mnist Dataset,try to include as more as possible features that I learn from keras, by the way,compare to tensorflow.hope to give a good learning example.

Keras_workflow

  I used to using tensorflow, recently, decide to pay more attention to keras.so it's a guide example which shows how to train a model by keras.I found training a model by keras can be done in six steps:

  1. prepare a Dataset
  2. build a model
  3. compile the model(compile())
  4. train the model(fit())
  5. validate the model(valuate())
  6. optionly, predict on new data(predict())

Train_my_model

  • train

  • validation

  • net-structure

Contact

  Live and Learn, happy to exchange study, so any question, you can contact me: jeffery_cpu@163.com

About

Implemention of lightweight CNN Model on Mnist Dataset,try to include as more as possible features that I learn from keras, by the way,compare to tensorflow.hope to give a good learning example.

License:GNU General Public License v3.0


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