How to Obtain and Run Light and Efficient Deep Learning Networks - Microsoft Research

Fast growth of the computation cost associated with training and testing of deep neural networks (DNNs) inspired various acceleration techniques. Reducing topological complexity and simplifying data representation of neural networks are two approaches that popularly adopted in deep learning society: many connections in DNNs can be pruned and the precision of synaptic weights can be …

Keywords: deep learning
Date: 2019/07/10 11:15

Related Entries

Read more Deep Learning for NLP Best Practices
Read more The major advancements in Deep Learning in 2016 | Tryolabs Blog
Read more Deep Learningを用いた教師なし画像検査の論文調査 GAN/SVM/Autoencoderとか .pdf
Read more データマイニングコンペティションサイト Kaggle にも Deep Learning ブームがきてるかと思ったのでまとめる - 糞糞糞ネット弁慶
Read more Chainerで学ぶdeep learning