An initial release of new Python library for Deep Learning: conx (pronounced "connects"). Built on Keras, but with enhancements, and designed for researchers, teaching, and learning. Documentation: http://conx.readthedocs.io/ Installation: https://github.com/Calysto/conx What niche does conx fill? * designed for students and researchers that don't want to work with (or don't know) numpy, matplotlib, or Keras functional-api * tight integration with Jupyter notebooks * widget-based app for easy exploration of ANN models * error messages designed for humans * standard input and target dataset API (separate from internal Keras numpy-based format) * supports all Keras layers via thin wrappers * creates standard Keras models * extended propagate functions: propagate_to, propagate_from * designed for use with an online robot simulator (optional) * built-in plotting and webcam interfaces * creates updatable network images (SVG) with activations, like this one: https://raw.githubusercontent.com/Calysto/conx/master/notebooks/network.png We're just getting started, so if you would like to collaborate, or have ideas, please let us know! Discussion group here: https://groups.google.com/forum/#!forum/conx-users