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笔下虽有千言,胸中实无一策

随笔分类 -  深度学习算法

摘要:Machine/Deep Learning Interview Questions Algorithms/Theory Q1- What’s the trade-off between bias and variance? More reading: Bias-Variance Tradeoff ( 阅读全文
posted @ 2018-02-28 14:00 CasperWin 阅读(577) 评论(0) 推荐(0)
摘要:Commonly used functions tf.saved_model.loader.load(sess, tags, export_dir) tf.get_default_graph() # Return the default Graph being used in the current 阅读全文
posted @ 2018-01-16 05:14 CasperWin 阅读(422) 评论(0) 推荐(0)
摘要:Step 1: GPU Instance and AMI The first thing we'll do is select the AMI and an instance with a GPU: Top Left: Service -> EC2 Left Side Bar: Spot Reque 阅读全文
posted @ 2018-01-14 12:43 CasperWin 阅读(141) 评论(0) 推荐(0)
摘要:A Dog Breed Classifier Setting Jupyter Notebook Keras Model ResNet50 Implementation normalization the mean pixel must be subtracted from every pixel i 阅读全文
posted @ 2017-10-25 10:38 CasperWin 阅读(327) 评论(0) 推荐(0)
摘要:Post Hyperparameter optimization for Neural Networks Paper Algorithms for Hyper-Parameter Optimization Note Introduction Sometimes it can be difficult 阅读全文
posted @ 2017-04-27 07:12 CasperWin 阅读(503) 评论(0) 推荐(0)
摘要:Hyperparameter Optimization In the context of machine learning, hyperparameter optimization or model selection is the problem of choosing a set of hyp 阅读全文
posted @ 2017-04-12 02:30 CasperWin 阅读(968) 评论(0) 推荐(0)
摘要:How to check the current version of TensorFlow? This depends on how you installed TensorFlow. Pip installation Run: Note that python is symlinked to / 阅读全文
posted @ 2017-03-11 03:39 CasperWin 阅读(1143) 评论(0) 推荐(0)
摘要:A TFRecords file represents a sequence of (binary) strings. The format is not random access, so it is suitable for streaming large amounts of data but 阅读全文
posted @ 2017-03-09 04:01 CasperWin 阅读(204) 评论(0) 推荐(0)
摘要:Overview In Machine learning and statistics, a common task is to fit a model to a set of training data. This model can be used later to make predictio 阅读全文
posted @ 2017-02-17 08:55 CasperWin 阅读(547) 评论(0) 推荐(0)
摘要:概要 Long Short Term Memory networks,简称作LSTM。 Recurrent Neural Networks Recurrent Neural Networks,简称作RNN,其结构包含回环,可以用来解决有信息停留的问题。 其基本机构如下图所示: 如上图所示,神经网络的 阅读全文
posted @ 2017-02-14 02:41 CasperWin 阅读(690) 评论(0) 推荐(0)
摘要:Paper A Torch Library for Action Recognition and Detection Using CNNs and LSTMs [Github] Long-term Recurrent Convolutional Networks for Visual Recogni 阅读全文
posted @ 2017-02-01 05:48 CasperWin 阅读(479) 评论(0) 推荐(0)
摘要:1. Overview Organization Machine Learning > Deep Learning > Deep Reinforcement Learning [Learning Road Map] Reinforcement Learning Architecture Post: 阅读全文
posted @ 2017-01-08 17:06 CasperWin 阅读(1043) 评论(0) 推荐(0)
摘要:1. 知乎上关于DRL入门的系列文章 1.1 DQN 从入门到放弃 DQN 从入门到放弃1 DQN与增强学习 DQN 从入门到放弃2 增强学习与MDP DQN 从入门到放弃3 价值函数与Bellman方程 DQN 从入门到放弃4 动态规划与Q-Learning DQN从入门到放弃5 深度解读DQN算 阅读全文
posted @ 2016-12-30 07:09 CasperWin 阅读(1650) 评论(0) 推荐(0)
摘要:The state of the art of non-linearity is to use ReLU instead of sigmoid function in deep neural network, what are the advantages? I know that training 阅读全文
posted @ 2016-12-30 06:54 CasperWin 阅读(703) 评论(0) 推荐(0)
摘要:TensorFlow TensorFlow Tutorial Learn Tensorflow TensorFlow based Libraries Keras Among all the Python deep learning libraries, Keras is favorite. We l 阅读全文
posted @ 2016-12-13 06:44 CasperWin 阅读(299) 评论(0) 推荐(0)