Comments (1)
Sure! To monitor train loss and test loss after each batch, you could use:
for e in range(nb_epoch):
for batch_index in range(0, len(X_train)/batch_size+1):
batch = range(batch_index*batch_size, min(len(X_train), (batch_index+1)*batch_size))
train_loss = model.train(X_train[batch], y_train[batch])
test_loss = model.evaluate(X_test, y_test, batch_size=batch_size)
Or alternatively, monitor train loss and test loss at each epoch (more practical):
for e in range(nb_epoch):
train_loss = model.fit(X_train, y_train, batch_size=batch_size, nb_epoch=1)
test_loss = model.evaluate(X_test, y_test, batch_size=batch_size)
from keras.
Related Issues (20)
- Try to change backend to βtorchβ, but still 'tensorflow'. HOT 1
- Can `keras.ops` get a `keras.ops.linalg`, so it's equivalent to `np`? HOT 3
- no `argpartition` op in keras.ops HOT 1
- no `select` in keras.ops HOT 2
- Support for jax.scipy? HOT 1
- Support for np.vectorize? HOT 3
- Pickle support via __reduce__ API HOT 1
- Cannot load nested model / model with sub-model HOT 1
- RuntimeError when using keras 3 with pytorch backend in example of VAE model HOT 2
- Possibly unintended regression (though maybe intended?) HOT 3
- Run validation every N batches HOT 6
- Round trip keras saving changes model's output format with dict inputs => single output HOT 3
- CategoryEncoding layer with output_mode count as part of a model no longer working in TensorFlow 2.16.1 HOT 1
- MLX Backend HOT 4
- `keras.ops.nan_to_num` doesn't have a `nan` argument HOT 2
- batch_normalization issue when trying to load model HOT 2
- Need help to understand the logic here HOT 1
- [BUG] Conflicting `loss_weights` implementation in Keras3 for single output case. HOT 6
- CategoryEncoding layer one hot indices cast to float in graph execution HOT 3
- Any method to get formulation of functions without seeking into source? HOT 2
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. πππ
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google β€οΈ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from keras.