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1 How to use Deep Learning when you have Limited Data
2017年02月03 - the underlying phenomenon) the data and don’t work as well when you test it out on unseen data. Since transfer learning allows the model to see different types
2 Can deep learning help you find the perfect girl?
2015年06月27 - Can deep learning help you find the perfect girl? One of the first things I did when I moved to Montreal was installing Tinder. For those of you
3 How to weekly group if you have daily data
2012年09月18 - I'm currently stuck with this problem. Suppose I have the following daily data 我现在坚持这个问题。假设我有以下日常
4 How can I use Nhibernate to retrieve data when the “WHERE IN()” have thousands of values? (too many parameters in the sql)
2011年06月09 - 使用的许多参数,此代码将抛出异常。 I think the best solution would be if I could make NHibernate use only 1 parameter for the whole "WHERE IN()", but I don't know how
5 Deep Learning in a Nutshell: Core Concepts
2015年11月05 - learning. Core Concepts MACHINE LEARNING In machine learning we (1) take some data, (2) train a model on that data, and (3) use the trained model to make
6 The 9 Deep Learning Papers You Need To Know About (Understanding CNNs Part 3)
2017年02月06 - neural networks have to have a deep network of layers in order for this hierarchical representation of visual data to work. Keep it deep. Keep it simple.
7 What are some good books/papers for learning deep learning?
2017年10月16 - Originally Answered: Yoshua Bengio: How can one get started with deep learning? Yes, if you have prior
8 Why do you use std::move when you have && in C++11? [duplicate]
2013年01月23 - and the following tidbit of advice was given. 我最近参加了一个c++ 11研讨会,并给出了以下建议。 when you have && and you are unsure, you will almost always use std::move Could
9 (转) Learning Deep Learning with Keras
2017年05月03 - covered in my introduction to data science in Python and statistics and machine learning sections, respectively. For Python, if you already have
10 How can I tell h2o deep learning grid to have AUC instead of residual deviance
2017年01月03 - deep learning grid to have AUC instead of residual deviance and present the results as atable like the one attached below ? 我想通过寻找AUC或精确度来测量模型的性能。在网格搜索中

 
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