zcn-code

zcn-code's Stars

• amanchadha/coursera-deep-learning-specialization

  Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

  Language:Jupyter Notebook2.9k2.1k

• martinepalazzo/kernel_methods

  Resources for Kernel Methods: Kernel Alignment, Maximum Mean Discrepancy, Gram Matrix.

  Language:Python81

• Ankit-Kumar-Saini/Coursera_TensorFlow_Advanced_Techniques_Specialization

  Used the Functional API to built custom layers and non-sequential model types in TensorFlow, performed object detection, image segmentation, and interpretation of convolutions. Used generative deep learning including Auto Encoding, VAEs, and GANs to create new content.

  Language:Jupyter Notebook89

• https-deeplearning-ai/tensorflow-2-public

  Language:Jupyter Notebook343946

• Daipuwei/DANN-MNIST

  这是论文Unsupervised Domain Adaptation by Backpropagation的复现代码，并完成了MNIST与MNIST-M数据集迁移，master和tf2分支代码为是基于tf2.x，tf1分支代码基于tf1.x

  Language:Python5614

• jindongwang/transferlearning

  Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

  Language:Python13.1k3.8k

• thuml/Transfer-Learning-Library

  Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

  Language:Python3.2k544