文件名称：深度学习新手入门练习项目
文件大小：8.92MB
文件格式：ZIP
更新时间：2022-02-07 11:14:26
Access the n
Access the notebooks in the notebooks directory in this repo. You can run these notebook on Google Colab (recommended) or on your local machine. Click on a notebook and replace https://github.com/ with https://colab.research.google.com/github/ in the notebook URL or use this Chrome extension to do it with one click. Sign into your Google account. Click the COPY TO DRIVE button on the toolbar. This will open the notebook on a new tab. Rename this new notebook by removing the Copy of part in the title. Run the code, make changes, etc. and it's all automatically saved to you personal Google Drive.
【文件预览】：
practicalAI-master
----notebooks()
--------07_PyTorch.ipynb(22KB)
--------00_Notebooks.ipynb(6KB)
--------12_Embeddings.ipynb(231KB)
--------11_Convolutional_Neural_Networks.ipynb(170KB)
--------blank_notebook.ipynb(2KB)
--------06_Random_Forests.ipynb(357KB)
--------05_Logistic_Regression.ipynb(66KB)
--------15_Computer_Vision.ipynb(212KB)
--------08_Multilayer_Perceptron.ipynb(485KB)
--------14_Advanced_RNNs.ipynb(165KB)
--------09_Data_and_Models.ipynb(360KB)
--------13_Recurrent_Neural_Networks.ipynb(124KB)
--------03_Pandas.ipynb(78KB)
--------02_NumPy.ipynb(18KB)
--------01_Python.ipynb(27KB)
--------04_Linear_Regression.ipynb(89KB)
--------10_Object_Oriented_ML.ipynb(108KB)
----images()
--------pool.jpeg(37KB)
--------attention1.jpg(336KB)
--------pytorch.png(19KB)
--------rnn2.png(64KB)
--------copy_to_drive.png(354KB)
--------seq2seq.jpeg(67KB)
--------cnn_cv.png(136KB)
--------logistic.jpg(64KB)
--------dropout.png(156KB)
--------dtree.jpg(49KB)
--------layernorm.png(49KB)
--------cnn_text3.png(27KB)
--------conditioned_rnn1.png(14KB)
--------attention2.jpg(275KB)
--------colab.png(20KB)
--------cnn.png(136KB)
--------matrix.png(6KB)
--------char_embeddings.png(22KB)
--------nutshell.png(28KB)
--------download_ipynb.png(926KB)
--------models1.png(242KB)
--------tensorboard.png(283KB)
--------upload.png(446KB)
--------conditioned_rnn2.png(13KB)
--------rnn.png(95KB)
--------forest.png(31KB)
--------birnn.png(21KB)
--------conv.gif(54KB)
--------gates.png(191KB)
--------batchnorm.png(52KB)
--------linear.png(38KB)
--------logo.png(20KB)
--------cnn_text2.png(24KB)
--------cnn_text.png(200KB)
--------pandas.png(21KB)
--------python.png(11KB)
--------numpy.png(117KB)
--------metrics.jpg(30KB)
--------mlp.png(81KB)
--------skipgram.png(31KB)
--------cnn_text1.png(34KB)
--------commit.png(663KB)
--------models2.png(46KB)
----requirements.txt(417B)
----LICENSE(1KB)
----README.md(5KB)
----data()
--------tumors_reduced.csv(28KB)
--------news.csv(5.85MB)
--------tumors.csv(39KB)
--------titanic.csv(83KB)
--------surnames.csv(165KB)
--------harrypotter.txt(1.09MB)
----.gitignore(876B)