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07-KLA-DLEARN - Deep Learning (DLEARN)
ARTIFICIAL INTELLIGENCE, Deep Learning, neural networks, convolutional networks, deep learning models, deep learning platforms, software libraries
Pre-Order
DURATION
4 days
LEVEL
Intermediate
OBJECTIVES
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.
PREREQUISITES
Basic Artificial Intelligence fundamental knowledge.
WHO SHOULD ATTEND
Technicians and software developers that are in charge of planning and operating deep learning systems.
TOPICS
Introduction to deep learning
Neural Networks
Convolutional Networks
Recurrent Nets
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
Torch
