Comments (1)
fchollet
commented on May 3, 2024
What you can do is display training and testing loss and accuracy at every epoch (using the arguments validation_split, verbose, show_accuracy of the .fit method). Then you can decide for yourself what is an appropriate number of epochs.
from keras.
Related Issues (20)
- How to import existing trained pytorch model to keras 3 HOT 2
- Any plan to add type annotations? HOT 2
- Add AdamWScheduleFree HOT 2
- Support `rar` archive file format extraction in keras.utils.get_file HOT 2
- AttributeError: 'types.SimpleNamespace' object has no attribute 'get_registered_object' from return keras.saving.get_registered_object(config["registered_name"]) in keras_nlp\src\utils\preset_utils.py HOT 4
- A checker is needed in Conv layers HOT 3
- Keras 3 / TF SavedModel export issues HOT 3
- tf.keras.utils.plot_model no longer supports layers with list as output HOT 4
- `failed to allocate memory` when continuously initializing `keras.applications` models in a loop. HOT 3
- Add `ops.add_n` HOT 3
- Profiling with Keras 3 HOT 1
- TypeError: Exception encountered when calling Bidirectional.call(). can only concatenate list (not "tuple") to list HOT 1
- Using `LossScaleOptimizer` with TF 2.16.1 HOT 4
- AttributeError: 'list' object has no attribute 'dtype' while using keras.utils.plot_model HOT 1
- ValueError: Exception encountered when calling RNN.call() - Undefined shapes are not supported HOT 3
- Nested ResNet50 makes layer not built without any custom layer HOT 6
- Can we use Clustering at the bottom of 3D unet in image segmentation any one plz show implementation
- Loading saved frozen model fails HOT 1
- Saving an `Optimizer` initially instantiated with a `float` learning_rate and later replaced with a `LearningRateSchedule` includes an extra Variable. HOT 1
- Enhance Error Messages for Tuple Input Validations for `IRFFT`, `FFT`, `FFT2`, `RFFT`, `ISTFT` in `keras/ops/math.py`
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 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. 📊📈🎉
-
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 ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from keras.