![How to use model.fit() which supports generators (because fit_generator() is deprecated)? | by Muhammad Iqbal bazmi | Medium How to use model.fit() which supports generators (because fit_generator() is deprecated)? | by Muhammad Iqbal bazmi | Medium](https://miro.medium.com/v2/resize:fit:1310/1*RsMw1ko9iHH_XmGyFmVgFg.png)
How to use model.fit() which supports generators (because fit_generator() is deprecated)? | by Muhammad Iqbal bazmi | Medium
![tensorflow - How to evaluate model while the data splitted manually in deep learning? - Stack Overflow tensorflow - How to evaluate model while the data splitted manually in deep learning? - Stack Overflow](https://i.stack.imgur.com/8U27V.png)
tensorflow - How to evaluate model while the data splitted manually in deep learning? - Stack Overflow
Subclass of keras.utils.Sequence does not get the value I want when I use predict_generator · Issue #12768 · keras-team/keras · GitHub
steps_per_epoch=NONE" is only valid for generator based on the "keras.utils. Sequence" class. · Issue #12577 · keras-team/keras · GitHub
Data Generator extending keras.utils.Sequence uses index=0 twice at the very first iteration · Issue #17946 · keras-team/keras · GitHub
![Training is slow when using tf.keras.utils.Sequence with large Numpy arrays · Issue #44266 · tensorflow/tensorflow · GitHub Training is slow when using tf.keras.utils.Sequence with large Numpy arrays · Issue #44266 · tensorflow/tensorflow · GitHub](https://user-images.githubusercontent.com/35227976/97080852-c66f6e00-15fe-11eb-92f4-ea0fef54e98e.png)
Training is slow when using tf.keras.utils.Sequence with large Numpy arrays · Issue #44266 · tensorflow/tensorflow · GitHub
![A problem occurred when I import the package-tensorflow.keras.preprocessing. sequence - Stack Overflow A problem occurred when I import the package-tensorflow.keras.preprocessing. sequence - Stack Overflow](https://i.stack.imgur.com/7wpr9.png)