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by 2030 have not been yet invented.“ - What is the root cause of this trend? - What will be the implications for our society? Three factors to consider: • Time • Scalability • Wealth
uses statistical methods to enable machines to improve with experience, without being explicitly programmed. Deep Learning is a subfield of machine learning concerned with algorithms inspired by the structure and function of the brain called artificial neural networks” (the computer can learn complicated tasks as image recognition) Machine Learning and Deep Learning?
provide the right environment and incentives so our fellows can focus on learning and coding AI during intense work sessions. Together with our activities and support, we transform such focus into an active community. Pair-Programming The key to our courses are our alumni, their motivation and their ability to help each other. We match them according to their goals and ensure that they work together to push their projects beyond their comfort zone. Learn By Doing The AI scientist mindset is forged by combining the theoretical lessons and building open-source projects, which enables our students to implement and test end-to-end AI apps with real customers.
creating a tool that helps to generate online content that is less offensive and that shows special to sexist and racist, proof of concept combining a RNN and a LSTM network. Authors: Irene Font Perajordi, Nora Lama and David Collado
Masters on AI (7k+€) • AI Coding bootcamp (5k+€) Some resources • Harvard CS50X - (100€) • fast.ai - Free • deeplearning.ai - 40€/m • Come to AI Saturdays ;) Self-Taught Guided Approach http://bit.ly/tarragona1