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Title: DiPol-GAN: Generating Molecular Graphs Adversarially with Relational Differentiable Pooling
Author(s): Pablo Rivas
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Filmed at https://2019.dotgo.eu on March 25th in Paris. More talks on https://dotconferences.com/talks
Making code faster is exciting, and benchmarks in Go make that easy to do!
Not really. Optimizing a program can be complex and require careful consideration to do properly. Daniel demonstrates techniques and tools which are a must for any performance aficionado.
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Creative Commons Attribution license (reuse allowed)
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Abstract:
Deep learning technologies are at the core of the current revolution in artificial intelligence for multimedia data analysis. The convergence of large-scale annotated datasets and affordable GPU hardware has allowed the training of neural networks for data analysis tasks which were previously addressed with hand-crafted features. Architectures such as convolutional neural networks, recurrent neural networks and Q-nets for reinforcement learning have shaped a brand new scenario in signal processing. This course will cover the basic principles and applications of deep learning to computer vision problems, such as image classification, object detection or image captioning.
...
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Welcome to AIP.
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Source: https://developer.nvidia.com/gtc/2020/video/s22111
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Source: NeurIPS
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