Some of the more advanced deep learning to help you get the best out of it in a practical setting. The main focus is on computer vision and image processing.
In the last few years, deep neural networks have been used to generate state-of-the-art results in image classification, segmentation and object detection. They have also successfully been used for speech recognition.
In this tutorial we build on the basics, demonstrating some useful techniques that are useful in a practical setting. Along with tips and tricks found to be useful, we will discuss the following:
Prior knowledge of deep learning, machine learning, linear algebra, a bit of calculus and the NumPy/SciPy stack would be helpful for participation. We will mainly focus on using the Theano toolkit along with the Lasagne neural network library.