Dataset is located at /cxldata/datasets/project/cat-non-cat
Dataset is in .h5 file. It is a file format that could store the data - along with its meta-data - in the form of a hierarchy. Import h5py to interact with a dataset that is stored in an H5 file. It contains
Now, let us load the dataset into our working session.
Load the data from /cxldata/datasets/project/cat-non-cat. For that, let us first access the h5py files of the train and test sets, by using h5py.File function.
train_dataset = h5py.File('/cxldata/datasets/project/cat-non-cat/train_catvnoncat.h5', "r")
test_dataset = << your code comes here >>('/cxldata/datasets/project/cat-non-cat/test_catvnoncat.h5', "r")
print("File format of train_dataset:",train_dataset)
print("File format of test_dataset:",<< your code comes here >>)
The train_dataset and test_dataset are HDF5 file objects. They have the data stored in a hierarchical format. Let us access the data and store it in form of numpy array as follows:
train_set_x_orig = np.array(train_dataset["train_set_x"][:]) # train set features
train_set_y_orig = np.array(train_dataset["train_set_y"][:]) # train set labels
test_set_x_orig = np.array(<< your code comes here >>["test_set_x"][:]) # test set features
test_set_y_orig = np.array(<< your code comes here >>["test_set_y"][:]) # test set labels
Note - Having trouble with the assessment engine? Follow the steps listed here
Loading comments...