Highlights Include:
- Text, audio, and time series support in addition to image
- APIs for RNN based tasks: text classification, text generation, and sequence labeling
- APIs for object detection
- APIs for time series processing and modeling
- APIs for processing audio files and creating speech recognition models
- Additional pre-defined network architectures such as DenseNet, DarkNet, Inception, and Yolo with enhanced data visualization and metadata handling
Note that with DLPy 1.0, we moved to python-style functions and parameters. This might break your old code with camelCase parameters and functions. It now also requires Python 3.4+.
The latest DLPy release can be installed using the following pip command:
pip install sas-dlpy
Or, if you use Anaconda:
conda install -c sas-institute sas-dlpy