diff --git a/tensorflow/intro/README.md b/tensorflow/intro/README.md index 5a5844b..6a24ae4 100644 --- a/tensorflow/intro/README.md +++ b/tensorflow/intro/README.md @@ -25,6 +25,8 @@ Questions to [David Rotermund](mailto:davrot@uni-bremen.de) ## Basic +[DataGenerator_no_dataugmentation.py](DataGenerator_no_dataugmentation.py) + ```python from tensorflow import keras import numpy as np @@ -123,6 +125,8 @@ if __name__ == "__main__": To the pre-processing chain **self.data_augmentation** you can add other preprocessing layers which are then applied to the input before given to the network. +[DataGenerator.py](DataGenerator.py) + ```python from tensorflow import keras import numpy as np @@ -265,6 +269,8 @@ Parameters for the layers: |[activation](https://www.tensorflow.org/api_docs/python/tf/keras/layers/Conv1D)| "Activation function to use. If you don't specify anything, no activation is applied (see [keras.activations](https://www.tensorflow.org/api_docs/python/tf/keras/activations))."| [data_format](https://www.tensorflow.org/api_docs/python/tf/keras/layers/Conv1D)| " A string, one of channels_last (default) or channels_first."| +[keras_learn.py](keras_learn.py) + ```python from tensorflow import keras from DataGenerator import DataGenerator @@ -382,6 +388,8 @@ for epoch_id in range(0, epoch_max): |[tf.keras.models.load_model](https://www.tensorflow.org/api_docs/python/tf/keras/saving/load_model) | "Loads a model saved via model.save()."| |[network.evaluate()](https://www.tensorflow.org/api_docs/python/tf/keras/Sequential#evaluate) | "Returns the loss value & metrics values for the model in test mode."| +[keras_test.py](keras_test.py) + ```python from tensorflow import keras from DataGenerator import DataGenerator