r/deeplearning - Free cloud GPU credits for deep learning

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I am working on https://www.tensorpad.com/ Part of our computational capacity is idle; hence, we're offering credits at a free and discounted rate, so that data scientists can benefit from the resources available, and work on neural networks. You can access the free credits by signing up (https://dashboard.tensorpad.com/ and redeeming "promo450" promo code in the Billing tab (https://dashboard.tensorpad.com/billing). For any questions, please contact us here, through support@tensorpad.com, or the Intercom on the site.


Credit Assignment through Time: Alternatives to Backpropagation

Neural Information Processing Systems

Learning to recognize or predict sequences using long-term context hasmany applications. However, practical and theoretical problems are found in training recurrent neural networks to perform tasksin which input/output dependencies span long intervals. Starting from a mathematical analysis of the problem, we consider and compare alternative algorithms and architectures on tasks for which the span of the input/output dependencies can be controlled. Results on the new algorithms show performance qualitatively superior tothat obtained with backpropagation. 1 Introduction Recurrent neural networks have been considered to learn to map input sequences to output sequences. Machines that could efficiently learn such tasks would be useful for many applications involving sequence prediction, recognition or production.


FinTech – Machine Learning and Recommenders

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I was invited as Keynote speaker in GCC Blockchain event in Dubai on 22 and 23 November 2017. I advocated for my area on AI and its subfield for FinTech. Also gave me lot of insight on how Blockchain can equally disrupt FinTech of rather doing it along with AI.


AI may just create the illusion of good credit decisions

#artificialintelligence

Let's apply some natural intelligence to the concept of artificial intelligence. AI has been conflated with big data, machine learning and neural networks. AI is also second only to blockchain technology as the most overused and overhyped term referring to technologies that are taking over banking and finance, particularly in credit decisions. Three years ago, it was fashionable to just nod your head when a company founder or a conference panelist stated that AI and fintech will disrupt the banks; some entrepreneurs even went so far as to state that banks were already obsolete. The founders believed then as they do now that AI is the main component of the disruption.


FinTech - Machine Learning and Recommenders

#artificialintelligence

I was invited as Keynote speaker in GCC Blockchain event in Dubai on 22 and 23 November 2017. I advocated for my area on AI and its subfield for FinTech. Also gave me lot of insight on how Blockchain can equally disrupt FinTech of rather doing it along with AI. In line with a Dubai goal towards making it the first Blockchain-powered government in the world by 2020, various service areas in Public and private organizations can benefit from Blockchain technologies. Blockchain and distributed ledger technology have potential to make ledgers more transparent, trustworthy and efficient which can revolutionize various business sectors.