文件名称：udacity_deep_learning
文件大小：126.08MB
文件格式：ZIP
更新时间：2024-03-18 01:33:18
JupyterNotebook
udacity_deep_learning
【文件预览】：
udacity_deep_learning-main
----first_neural_network-289747.zip(566KB)
----binary.csv(5KB)
----01. direction_and_amount.ipynb(11KB)
----05. StudentAdmissions.ipynb(114KB)
----06. Gradient Descent The Code.ipynb(8KB)
----04. Backpropogation.ipynb(5KB)
----03. Learning the whole dataset.ipynb(4KB)
----11. Pytorch Intro()
--------helper.py(3KB)
--------Part 2 - Neural Networks in PyTorch (Exercises).ipynb(36KB)
--------Part 5 - Inference and Validation (Exercises).ipynb(39KB)
--------Part 3 - Training Neural Networks (Exercises).ipynb(52KB)
--------Part 4 - Fashion-MNIST (Exercises).ipynb(35KB)
--------assets()
--------file.zip(99.12MB)
--------Part 4 - Fashion-MNIST (Solution).ipynb(35KB)
--------Part 7 - Loading Image Data (Exercises).ipynb(467KB)
--------Part 1 - Tensors in PyTorch (Exercises).ipynb(20KB)
--------README.md(850B)
--------Part 6 - Saving and Loading Models.ipynb(12KB)
--------fc_model.py(3KB)
----09. LESSON 5 Sentiment Analysis()
--------sentiment_network_pos.png(23KB)
--------sentiment_network_sparse_2.png(34KB)
--------sentiment_network_2.png(28KB)
--------sentiment_network_sparse.png(31KB)
--------9. Sentiment_Classification_Projects.ipynb(828KB)
--------reviews.txt(32.12MB)
--------labels.txt(220KB)
--------sentiment_network.png(26KB)
----08. Backpropagation.ipynb(3KB)
----10. first-neural-network()
--------my_answers.py(6KB)
--------first_neural_network-289747.zip(566KB)
--------Your_first_neural_network.ipynb(571KB)
--------assets()
--------Bike-Sharing-Dataset()
--------first_neural_network-result-289747.json(4KB)
--------requirements.txt(796B)
--------jwt(176B)
--------setup.sh(486B)
----12. Convolutional Neural Networks()
--------L5()
--------L1()
--------L6()
--------L7()
--------L4()
----02. GradientDescent.ipynb(138KB)
----.ipynb_checkpoints()
--------01. direction_and_amount-checkpoint.ipynb(11KB)
--------02. GradientDescent-checkpoint.ipynb(138KB)
--------8. Backpropagation-checkpoint.ipynb(72B)
--------3. Learning the whole dataset-checkpoint.ipynb(72B)
--------7. Implementing Gradient Descent-checkpoint.ipynb(72B)
--------6. Gradient Descent The Code-checkpoint.ipynb(8KB)
----13. Dog Breed Classifier()
--------dog_app.ipynb(134KB)
----07. Implementing Gradient Descent.ipynb(12KB)