Titolo del corso:
This course aims to present the mathematical, statistical and computational challenges of building stable representations for high-dimensional data, such as images, text and data. We will delve into selected topics of Deep Learning, discussing recent models from both supervised and unsupervised learning. Special emphasis will be on convolutional architectures, invariance learning, unsupervised learning and non-convex optimization.
Basic Artificial Intelligence fundamental knowledge.
A chi è rivolto:
Technicians and software developers that are in charge of planning and operating deep learning systems.
Development and Analysis of Deep Learning Apps using the most up-todate Deep Learning algorithm such as TensorFlow, Theano, Caffee, Keras, Torch.
Introduction to deep learning
Deep learning models
Additional deep learning models
Deep learning platforms and software libraries
Deep Learning Framework: TensorFlow
Deep Learning Framework: Theano
Deep Learning Framework: Caffee
Deep Learning Framework: Keras