# DeepLearning **Repository Path**: leeming751/DeepLearning ## Basic Information - **Project Name**: DeepLearning - **Description**: Deep Learning (Python, C, C++, Java, Scala, Go) - **Primary Language**: Unknown - **License**: MIT - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2020-05-04 - **Last Updated**: 2020-12-19 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README ## Deep Learning (Python, C, C++, Java, Scala, Go) ### Classes : - DBN: Deep Belief Nets - CDBN: Deep Belief Nets w/ continuous-valued inputs - RBM: Restricted Boltzmann Machine - CRBM: Restricted Boltzmann Machine w/ continuous-valued inputs - dA: Denoising Autoencoders - SdA: Stacked Denoising Autoencoders - LogisticRegression: Logistic Regression - HiddenLayer: Hidden Layer of Neural Networks - MLP: Multiple Layer Perceptron - Dropout: Dropout MLP - CNN: Convolutional Neural Networks (See [dev branch](https://github.com/yusugomori/DeepLearning/tree/dev).) ### References : - Y. Bengio, P. Lamblin, D. Popovici, H. Larochelle: Greedy Layer-Wise Training of Deep Networks, Advances in Neural Information Processing Systems 19, 2007 - P. Vincent, H. Larochelle, Y. Bengio, P.A. Manzagol: Extracting and Composing Robust Features with Denoising Autoencoders, ICML' 08, 1096-1103, 2008 - DeepLearningTutorials https://github.com/lisa-lab/DeepLearningTutorials - Yusuke Sugomori: Stochastic Gradient Descent for Denoising Autoencoders, http://yusugomori.com/docs/SGD_DA.pdf ### Publication : - More detailed Java implementations are introduced in my book, Java Deep Learning Essentials. The book is available from [Packt Publishing](https://www.packtpub.com/big-data-and-business-intelligence/java-deep-learning-essentials) or [Amazon](http://www.amazon.com/Deep-Learning-Java-Yusuke-Sugomori/dp/1785282190/). ##### Bug reports / contributions / donations are deeply welcome. Bitcoin wallet address: 34kZarc2uBU6BMCouUp2iudvZtbmZMPqrA