UP

Artificial Intelligence with Deep Learning

Postgraduate course. Face-to-face.

Content

UPC School

Subjects

Deep Learning
4 ECTS. 39 teaching hours.
  • Introduction to machine learning. Evaluation metrics.
  • The perceptron and the multi-layer perceptron.
  • Convolutional, recurrent and graph networks. Attention models.
  • Supervised, non-supervised and reinforcement learning.
  • Backpropagation, population-based and neuroevolution training.
  • Optimization. Batch normalization.
  • Generative models
  • Transfer learning. Incremental learning and catastrophic forgetting.
Computer Vision
2 ECTS. 15 teaching hours.
  • Image and video classification.
  • Object detection, tracking and segmentation.
  • Visual search.
  • 3D recognition and reconstruction.
  • Visual saliency prediction
Natural Language Processing
2 ECTS. 15 teaching hours.
  • Word embeddings and language models.
  • Text processing, classification and summarization.
  • Neural Machine Translation (NMT).
  • Dialog systems.
  • Recommender systems.
Speech and Audio Processing
2 ECTS. 15 teaching hours.
  • Speech recognition, conversino and synthesis.
  • Music processing.
  • Acoustic events.
  • Cross-modal processing: audio, language and vision.
Applications
2 ECTS. 18 teaching hours.
  • Real case applications of deep learning in industry.
  • Research projects of leading scientific researchers.
Project
3 ECTS. 18 teaching hours.
  • Programming in Python for deep learning.
  • Deep learning frameworks: Keras/TensorFlow and PyTorch/Caffe2.
  • Monitoring of neural network training: training curves, computational resources.
  • Data loaders. Sincronization between CPU and GPU.
  • Cloud computing.
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(34) 93 114 68 05

Credits:
15 ECTS
(120 teaching hours)

Start date:
Start date:12/02/2019 End date:04/07/2019
Timetable:
Tuesday  18:30 to 21:30Thursday  18:30 to 21:30
Taught at:
Tech Talent Center
C/ de Badajoz, 73-77
Barcelona
map

Registration fee:
3.800 €

Language of instruction:
English

Registration open until the beginning of the course or until end of vacancies.

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