learning pdf machine-learning good mit deep-learning neural-network book machine linear-algebra neural-networks deeplearning print excercises lecture-notes chapter clear thinking printable Updated Oct 9, 2023 Java dragen1860 / Deep-Learning-with-TensorFlow-book Star 13.2k Code Issues Pull requests...
Lecture notes on Bayesian deep learning . Contribute to sjchoi86/bayes-nn development by creating an account on GitHub.
课程的作业其实是不公开的,但是2018年的版本Youtube有课程视频,Github上也有课程作业分享,所以我推荐看2018年的Lecture Notes和作业。 An introduction to Statistical Learning 大名鼎鼎的ESL(Elements of Statistical Learning, Data mining)的简化版,又称ISL。 选择这本书主要是因为CS229 18 年的课没有讲Tree相关的...
InnerEye Deep Learning. Accessed October 29, 2020. https://github.com/microsoft/InnerEye-DeepLearning/ 29. Barrett JF, Keat N. Artifacts in CT: recognition and avoidance. Radiographics. 2004;24(6):1679-1691. doi:10.1148/rg.246045065PubMedGoogle ScholarCrossref 30. Tarroni G...
最近在学深度学习相关的东西,在网上搜集到了一些不错的资料,现在汇总一下: Free Online BooksDeep Learning66 by Yoshua Bengio, Ian Goodfellow and Aaron CourvilleNeural Networks and Deep Learning42 by M…
DragoNN:https://kundajelab.github.io/dragonn/tutorials.html Kaggle machine learning competitions:https://www.kaggle.com/sudalairajkumar/winning-solutions-of-kaggle-competitions Keras:https://keras.io/ Keras model zoos:https://keras.io/applications/ ...
The purpose of this study is to identify additional clinical features for sepsis detection through the use of a novel mechanism for interpreting black-box machine learning models trained and to provide a suitable evaluation for the mechanism. We use the publicly available dataset from the 2019 Physi...
在进行实验前,需下载好本实验的标准代码:https://github.com/amaas/stanford_dl_ex。 然后在common文件夹放入下载好的MNIST数据库,见http://yann.lecun.com/exdb/mnist/.注意MNIST文件名需要和代码中的保持一致。 实验代码: cnnTrain.m: %%Convolution Neural Network Exercise%Instructions% --- % %This file...
CNN反向传播求导时的具体过程可以参考论文Notes on Convolutional Neural Networks,Jake Bouvrie,该论文讲得很全面,比如它考虑了pooling层也加入了权值、偏置值及非线性激发(因为这2种值也需要learn),对该论文的解读可参考zouxy09的博文CNN卷积神经网络推导和实现。除了bp算法外,本人认为理解了下面4个子问题,基本上就可以...
Thebille, AK.et al.(2021). Deep Learning-Based Bias Transfer for Overcoming Laboratory Differences of Microscopic Images. In: Papież, B.W., Yaqub, M., Jiao, J., Namburete, A.I.L., Noble, J.A. (eds) Medical Image Understanding and Analysis. MIUA 2021. Lecture Notes in Computer...