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Mathematical Correspondences and Critical Editions

Registration will open in June. For any comments, do not hesitate to contact us at the following email address: formations ivado. December , Vancouver English. About Program. Summary Deep learning is a machine learning technique that has significantly improved previous results in computer vision, speech recognition, machine translation and other areas.

Target audience The content of this school is mainly aimed at industry professionals and SMEs with basic knowledge of mathematics and programming engineers, computer scientists, statisticians, technical project managers, product managers, systems engineers, etc. Prerequisites A minimal knowledge of programming ideally Python and basic knowledge in mathematics linear algebra, statistics is desirable.

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Objectives At the end of the training week, participants should be able to: Understand the basics and terminology related to deep learning Understand the methodology for carrying out a project in deep learning Identify the types of neural networks to use to solve different types of problems Get familiar with deep learning libraries through practical and tutorial sessions.

Registration Registration will open in June. The instrument should also be validated with children from a clinical population with a higher preponderance of biological and environmental risk factors associated with the development of BPD. Finally, it would be interesting to establish the standardized values of the instrument allowing clinicians to identify which scores can be considered normal and which may indicate a strong presence of borderline personality traits.

IVADO/MILA Deep Learning School (4th and 5th edition)

The identification of personality traits and behaviours associated with BPD in children and adolescents could promote prospective research and increase knowledge about the aetiology, characteristics, and trajectory of BPD throughout child development. Keywords: borderline personality traits, borderline personality disorder, children, questionnaire, validity.


  • About these proceedings;
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Bibliographie Achenbach, T. Google Scholar.