Welcome to PyDeep’s documentation!¶
PyDeep is a machine learning / deep learning library with focus on unsupervised learning. The library has a modular design, is well documented and purely written in Python/Numpy. This allows you to understand, use, modify, and debug the code easily. Furthermore, its extensive use of unittests assures a high level of reliability and correctness.
Welcome¶
Installation¶
Tutorials¶
Documentation¶
- Documentation
- pydeep
- ae
- base
- misc
- io
- measuring
- sshthreadpool
- toyproblems
- visualization
- tile_matrix_columns
- tile_matrix_rows
- imshow_matrix
- imshow_plot
- imshow_histogram
- plot_2d_weights
- plot_2d_data
- plot_2d_contour
- imshow_standard_rbm_parameters
- hidden_activation
- reorder_filter_by_hidden_activation
- generate_samples
- imshow_filter_tuning_curve
- imshow_filter_optimal_gratings
- imshow_filter_frequency_angle_histogram
- filter_frequency_and_angle
- filter_frequency_response
- filter_angle_response
- calculate_amari_distance
- preprocessing
- rbm
- pydeep