How to use the ble_wind_field/small dataset in BLE for training a VAE? #24
Description
How to use the ble_wind_field/small dataset in BLE for training a VAE?
What is the purpose of this dataset?
How should it be used?
I am working with the Balloon Learning Environment (BLE) and I need to use the ble_wind_field/small dataset. I would like to know if this dataset can be used for training a Variational Autoencoder (VAE), and if so, how to write the code to achieve this.
Installed BLE as per the official documentation.
I ‘ve already Loaded the dataset using the following code
import numpy as np
import tensorflow as tf
import tensorflow_datasets as tfds
ds = tfds.load('ble_wind_field/small', split='train', shuffle_files=True, data_dir='datasets')
assert isinstance(ds, tf.data.Dataset)
print(ds)
ds = ds.take(1) # Only take a single example
len = 0
for i in tfds.as_numpy(ds):
print(i['field'].shape)
print(i)
len += 1
print('data length:',len)
My question
Can the ble_wind_field/small dataset be used for training a VAE?
If so, how can I write the code to preprocess this dataset and train a VAE?
Any code snippets or examples would be greatly appreciated.
If there are any specific files or configurations needed, please let me know.
Thank you for your help!