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Google Stock Predictions using an LSTM Neural Network
Author(s): Michelangiolo Mazzeschi Time-series is a data format that is very tough to manage. Compared to cross-sectional data, a data format to which you can directly apply machine learning algorithms without preparing the data… Continue reading on Towards AI — Multidisciplinary Science Journal » …
Reading: ESRGAN — Enhanced Super-Resolution Generative Adversarial Networks (Super Resolution & GAN)
Author(s): Sik-Ho Tsang Outperforms SRCNN, EDSR and RCAN, and SRGAN. Also, won the First Place in PIRM2018-SR challenge ESRGAN can have a sharper result than SRGAN In this story, Enhanced Super-Resolution Generative Adversarial Networks (ESRGAN), by The Chinese University of Hong Kong, Chinese …
Nothing but NumPy: Understanding & Creating Neural Networks with Computational Graphs from Scratch
Author(s): Rafay Khan Understanding new concepts can be hard, especially these days when there is an avalanche of resources with only cursory explanations for complex concepts. This blog is the result of a dearth of detailed walkthroughs on how to create neural …
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