劍橋編碼學院的這個針對完全初學者的深度學習，第一部分：識別手寫字體，第二部分：使用卷積網(wǎng)絡(luò)識別圖像，第三部分：神經(jīng)網(wǎng)絡(luò)調(diào)參技術(shù)。
Deep learning for complete beginners: Recognising handwritten digits
Introduction
Welcome to the first in a series of blog posts that is designed to get you quickly up to speed with deep learning; from first principles, all the way to discussions of some of the intricate details, with the purposes of achieving respectable performance on two established machine learning benchmarks: MNIST (classification of handwritten digits) and CIFAR-10 (classification of small images across 10 distinct classes—airplane, automobile, bird, cat, deer, dog, frog, horse, ship & truck).
第一部分：
http://online.cambridgecoding.com/notebooks/cca_admin/deep-learning-for-complete-beginners-recognising-handwritten-digits
第二部分：
http://online.cambridgecoding.com/notebooks/cca_admin/convolutional-neural-networks-with-keras
第三部分：
http://online.cambridgecoding.com/notebooks/cca_admin/neural-networks-tuning-techniques
原文鏈接：
http://weibo.com/5501429448/EaEYd19lq?from=page_1005055501429448_profile&wvr=6&mod=weibotime&type=comment#_rnd1475241671488
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