Nikolai Yakovenko 9 May 2017
Nikolai Yakovenko @ivan_bezdomny
Deep Learning is better than a quant shop. Why? Quants don't scale and clean formulas don't make money any more. DL… https://t.co/BPZg4vMwNn
Plant recognition & weed killing in realtime with deep learning #GTC2017 https://t.co/6zKF6nbKI7
Highly anticipated talk: David Silver of Udacity on "how to become a self driving car engineer" #GTC2017 https://t.co/5nlzLsYHAH
Nikolai Yakovenko 8 May 2017
Good talk now: distributed learning w/ TensorFlow 1.1. Splitting jobs between GPUs, splitting huge models to multiple param servers #GTC2017
Presentation on multi-GPU Spark w/ TF. Didn't know that option. Not as good as true multi-GPU but can be better tha… https://t.co/gazjecA9gH
RT @PyTorch: If you're at @nvidia #GTC2017, great @pytorch presence. Two talks: Monday 5pm by @jeremyphoward, Tuesday 10am by @soumithchint…
Nikolai Yakovenko 7 May 2017
Tremendous conversation! 🇨🇦 https://t.co/XpugGcWmET
Nikolai Yakovenko 6 May 2017
RT @alexjc: These stylization results are insane! https://t.co/kffZJvTGPM Visual Attribute Transfer w/ Deep Image Analogy ✨ Let me explain…
Nikolai Yakovenko 4 May 2017
RT @allanzelener: Nice work reading street signs using a multiview Show, Attend, and Tell style model. Co-authored by some of my former col…
Nikolai Yakovenko 3 May 2017
RT @PyTorch: Recursive Neural Networks using @PyTorch, a blog post by @jekbradbury explains recursive nets, graphs, etc. https://t.co/fr6BK…
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