Dataset taken from the StatLib library which is maintained at Carnegie Mellon University. Samples contain 13 attributes of houses at different locations around the Boston suburbs in the late 1970s. Targets are
builder_name/citation/config_name/dataset_size/description/download_checksums/download_size/features/homepage/license/size_in_bytes/supervised_keys/version:参考 DatasetInfo 的属性。 format:返回一个字典,表示数据集的格式。 shape:返回一个 Tuple[int, int],表示数据集的形状(列数,行`数)。 column_names:...
python machine-learning deep-neural-networks deep-learning tensorflow keras pytorch sentinel dataset remote-sensing image-classification convolutional-neural-networks object-detection satellite-imagery datasets satellite-data earth-observation satellite-images Updated May 27, 2025 activeloopai / deeplake Star...
Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code. - ub
Experiments were carried out with three architectures of Deep Learning from the literature using the Keras library. The results show that the recommended configuration (Height Shift Range = 0.2; Width Shift Range = 0.2; Zoom Range =0.2) reached an accuracy of \\(95.6\\%\\) in the test ...
In this tutorial, you discovered the standard computer vision datasets provided with the Keras deep learning library. Specifically, you learned: The API and idioms for downloading standard computer vision datasets using Keras. The structure, nature, and top results for the MNIST, Fashion-MNIST, CIFA...
In this tutorial you will learn how to use Keras feature extraction on large image datasets with Deep Learning. We'll also learn how to use incremental learning to train your image classifier on top of the extracted features.
Sklearn datasets are included as part of the scikit-learn (sklearn) library, so they come pre-installed with the library.
Neural network analysis was conducted using Python libraries TensorFlow (https://www.tensorflow.org) and Keras (https://keras.io). Neural network interpretation was carried out using the library iNNvestigate84(https://github.com/albermax/innvestigate). Python scripts developed for the analysis and...
bear taking care of her cubs. This means you don’t have to write any code to shuffle and load batches from your dataset to get it to play nicely with TensorFlow. Once you’ve converted your dataset into atf.data.Dataset, you can train your model with the usual TensorFlow or Keras...