How Humans Judge Machines
How would you feel about losing your job to a machine? How about a tsunami alert system that fails? Would you react differently to acts of discrimination performed by a machine or a human? How about public surveillance? How Humans…
Read MoreDeep learning with tensorflow 1/2 & 2/2
Since 2012, deep neural networks have led to outstanding results in various applications, literally exceeding any previously existing methods, in texts, images, sounds, videos, graphs... They consist of a cascade of parametrized linear and non-linear operators whose parameters are optimized…
Read MoreDeep learning with tensorflow 1/2 & 2/2
Since 2012, deep neural networks have led to outstanding results in various applications, literally exceeding any previously existing methods, in texts, images, sounds, videos, graphs... They consist of a cascade of parametrized linear and non-linear operators whose parameters are optimized…
Read MoreSequential Learning
Sequential learning addresses the problem of allocating resources under cost constraints, and sometimes lack of information. This class of problems is ubiquitous for instance in machine learning, operations research or econometrics. In particular, it is at the heart of Reinforcement…
Read MoreSequential Learning
Sequential learning addresses the problem of allocating resources under cost constraints, and sometimes lack of information. This class of problems is ubiquitous for instance in machine learning, operations research or econometrics. In particular, it is at the heart of Reinforcement…
Read MoreImage Recognition Using Deep-Learning: Implementation and Application
This 3-hour course will offer a brief hands-on introduction to deep-learning based image recognition tools. Participants will gain familiarity with preparing and importing images into software (python) and applying one of the foundational deep learning architectures to classify the images…
Read MoreImage Recognition Using Deep-Learning: Implementation and Application
This 3-hour course will offer a brief hands-on introduction to deep-learning based image recognition tools. Participants will gain familiarity with preparing and importing images into software (python) and applying one of the foundational deep learning architectures to classify the images…
Read MoreIntroduction to Federated Learning
Federated learning (FL) is a machine learning paradigm where many clients (e.g. mobile devices or whole organizations) collaboratively train model while keeping their data decentralized. FL embodies the principals of focused data collection and minimization, and can mitigate many of…
Read MoreIntroduction to Federated Learning
Federated learning (FL) is a machine learning paradigm where many clients (e.g. mobile devices or whole organizations) collaboratively train model while keeping their data decentralized. FL embodies the principals of focused data collection and minimization, and can mitigate many of…
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