This webinar gives a brief overview of what you can do in MATLAB with deep learning:
• Create and train feed forward, recurrent, time series and convolutional neural networks
• Use CUDA capable Nvidia GPUs to reduce training time
• Extract and visualise features from pretrained networks
• Import models from Caffe
• Perform transfer learning with a variety of pretrained models
A practical example of object classification is shown.