Loading a trained Keras model and continue training

by

Actually – model.save saves all information need for restarting training in your case. The only thing which could be spoiled by reloading model is your optimizer state. To check that – try to save and reload model and train it on training data.

More Related Contents:

  1. Keras + Tensorflow and Multiprocessing in Python
  2. Negative dimension size caused by subtracting 3 from 1 for ‘conv2d_2/convolution’
  3. How do I check if keras is using gpu version of tensorflow?
  4. Multiple outputs in Keras
  5. How can I use a weight matrix created by a trained neural network to make predictions in another file?
  6. Keras, How to get the output of each layer?
  7. How to make a custom activation function with only Python in Tensorflow?
  8. Tensorflow – ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type float)
  9. Deep-Learning Nan loss reasons
  10. Failed to get convolution algorithm. This is probably because cuDNN failed to initialize,
  11. Why is TensorFlow 2 much slower than TensorFlow 1?
  12. How to assign a value to a TensorFlow variable?
  13. Tensorflow: How to replace or modify gradient?
  14. NaN loss when training regression network
  15. Can Keras with Tensorflow backend be forced to use CPU or GPU at will?
  16. What is the difference between tf.keras and tf.python.keras?
  17. Tensorflow 2.0 – AttributeError: module ‘tensorflow’ has no attribute ‘Session’
  18. Can I run Keras model on gpu?
  19. Keras custom loss function: Accessing current input pattern
  20. Dimension of shape in conv1D
  21. How to know if underfitting or overfitting is occuring?
  22. How does Keras handle multilabel classification?
  23. Keras: .predict returns percentages instead of classes
  24. Keras Custom loss function to pass arguments other than y_true and y_pred
  25. Unknown initializer: GlorotUniform when loading Keras model
  26. Tensorflow : logits and labels must have the same first dimension
  27. How to use fit_generator with multiple inputs
  28. How to implement Grad-CAM on a trained network
  29. Tensorflow One Hot Encoder?
  30. Can I send callbacks to a KerasClassifier?

Leave a Comment