文件名称：Easter-Bootcamp-2018：旨在在一周内将您从零经验带入GAN
文件大小：1.92MB
文件格式：ZIP
更新时间：2024-02-25 01:16:01
python machine-learning neural-network jupyter-notebook pytorch
ML-Easter-Bootcamp 旨在在一周内将您从零经验带到GAN。 从第X天到第0天开始依次浏览笔记本。 Haron Shams和Harry Berg编写的所有教学材料。 Github用户名：haron1100，haaaarryb
【文件预览】：
Easter-Bootcamp-2018-master
----CVAE.py(6KB)
----pcafigs2.png(49KB)
----airfoil_self_noise.dat(59KB)
----Day 4 - Generative Adversarial Networks.ipynb(10KB)
----cnn.gif(64KB)
----cancer_data.csv(122KB)
----Day 2 - Convolutional Neural Networks.ipynb(10KB)
----pcafigs1.png(60KB)
----activation.png(39KB)
----Day 0 - Linear Regression in PyTorch.ipynb(10KB)
----Day 1 - Logistic Regression.ipynb(9KB)
----Iris.csv(5KB)
----poorhessian.webp(20KB)
----Day 3 - Tricks to improve performance.ipynb(13KB)
----Day 3 - Recurrent Neural Networks.ipynb(18KB)
----rnn.jpg(43KB)
----rnnlayouts.jpeg(67KB)
----cnn.png(191KB)
----Kmeans_animation.gif(199KB)
----autoencoder.py(9KB)
----sigderiv.png(7KB)
----nnfeaturevis.png(366KB)
----Day 0 - Intro To Python.ipynb(19KB)
----GAN.png(46KB)
----Day 2 - Neural Networks.ipynb(13KB)
----README.md(261B)
----lyrics(24KB)
----tricks.py(0B)
----nngrad.png(6KB)
----aecopy.py(0B)
----Day 4 - Autoencoders.ipynb(21KB)
----pcagraphs.py(3KB)
----gradientdescent.png(573KB)
----Day X - Universal concepts, preamble & glossary.ipynb(13KB)
----Day 0 - Numpy Linear Regression.ipynb(120KB)
----Day 1 - PCA.ipynb(66KB)
----nn.png(72KB)
----VAEnew.py(6KB)
----vaecopy.py(0B)