Classify the gender of a speaker using deep learning. In particular, the example uses a Bidirectional Long Short-Term Memory (BiLSTM) network and Mel-Frequency Cepstral Coefficients
Denoise speech signals using deep learning networks. The example compares two types of networks applied to the same task: fully connected, and convolutional. This example requires Deep
Train an object detector using a deep learning technique named Faster R-CNN (Regions with Convolutional Neural Networks).
Train a semantic segmentation network using dilated convolutions.