文件名称：笔记本：深度学习课程的代码
文件大小：972KB
文件格式：ZIP
更新时间：2024-03-21 15:04:52
deep-learning tutorials pytorch hacktoberfest hacktob
笔记本 代码 存档可在archive-2020分支上找到。 用法 如果要在本地运行： python3 -m venv dldiy # If you want to install packages in a virtualenv source dldiy/bin/activate pip install -r requirements.txt # Install PyTorch and others python -m notebook # Run notebook environment
【文件预览】：
notebooks-master
----.gitignore(68B)
----HW2()
--------HW2_CAM_Adversarial.ipynb(20KB)
----README.md(379B)
----HW1()
--------hw1_mlp.ipynb(23KB)
----Module2()
--------02b_linear_reg.ipynb(20KB)
--------02_backprop.ipynb(14KB)
--------img()
--------AD_with_dual_numbers_Julia.ipynb(11KB)
--------02a_basics.ipynb(26KB)
----Module13()
--------seq2seq.py(9KB)
--------13_siamese_triplet_mnist_empty.ipynb(50KB)
----Module9()
--------09_AE_NoisyAE.ipynb(16KB)
----Module1()
--------img()
--------01_practical_empty.ipynb(43KB)
--------01_intro.ipynb(43KB)
----LICENSE(11KB)
----Module4()
--------04_gradient_descent_optimization_algorithms_empty.ipynb(270KB)
----HW3()
--------VAE_clustering_empty.ipynb(21KB)
--------vae.png(6KB)
----Module8()
--------08_Playing_with_word_embedding.ipynb(10KB)
--------08_word2vec.ipynb(12KB)
--------08_collaborative_filtering_empty.ipynb(39KB)
--------08_Word2vec_pytorch_empty.ipynb(39KB)
--------08_collaborative_filtering_1M.ipynb(28KB)
----Module6()
--------06_convolution_digit_recognizer.ipynb(37KB)
--------img()
--------CAM_with_conv_empty.ipynb(7KB)
----requirements.txt(118B)
----Module5()
--------Stacking_layers_MLP_CIFAR10.ipynb(5KB)
----Module3()
--------03_polynomial_regression.ipynb(14KB)
----Module11()
--------11_RNN.ipynb(38KB)
--------11_predicitions_RNN_empty.ipynb(26KB)
--------11_Tutorial_packing_sequences.ipynb(11KB)
----Module14()
--------14b_dropout_mnist.ipynb(40KB)
--------14_batchnorm_simple.ipynb(379KB)
--------14a_dropout_intro.ipynb(6KB)
----HW4()
--------Federated Poisoning.ipynb(15KB)
----Module10()
--------10_GAN_double_moon.ipynb(19KB)