文件名称：吴恩达深度学习课后习题 1-3 章
文件大小：26.61MB
文件格式：ZIP
更新时间：2022-04-20 11:35:14
吴恩达 深度学习
吴恩达深度学习课后习题和代码 deep-learning-coursera
【文件预览】：
Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization
----Week 2 Quiz - Optimization algorithms.md(4KB)
----.ipynb_checkpoints()
--------Regularization-checkpoint.ipynb(267KB)
--------Gradient Checking-checkpoint.ipynb(26KB)
--------Tensorflow Tutorial-checkpoint.ipynb(206KB)
--------Initialization-checkpoint.ipynb(268KB)
--------Optimization methods-checkpoint.ipynb(375KB)
----Optimization methods.ipynb(354KB)
----testCase.py(3KB)
----Regularization.ipynb(263KB)
----Gradient Checking.ipynb(26KB)
----images()
--------dictionary_to_vector.png(122KB)
--------1Dgrad_kiank.png(173KB)
--------dropout2_kiank.mp4(2.35MB)
--------field_kiank.png(121KB)
--------cost.jpg(859KB)
--------kiank_shuffle.png(165KB)
--------kiank_sgd.png(106KB)
--------dropout1_kiank.mp4(1.63MB)
--------thumbs_up.jpg(989KB)
--------hands.png(565KB)
--------opt_momentum.png(125KB)
--------NDgrad_kiank.png(176KB)
--------kiank_partition.png(66KB)
--------kiank_minibatch.png(105KB)
--------onehot.png(118KB)
----init_utils.py(7KB)
----Initialization.ipynb(258KB)
----Week 1 Quiz - Practical aspects of deep learning.md(2KB)
----Week 3 Quiz - Hyperparameter tuning, Batch Normalization, Programming Frameworks.md(3KB)
----datasets()
--------train_signs.h5(12.67MB)
--------fingers()
--------data.mat(6KB)
--------test_signs.h5(1.41MB)
----tf_tor.py(19B)
----Tensorflow Tutorial.ipynb(204KB)
----opt_utils.py(8KB)
----tf_utils.py(5KB)
----__pycache__()
--------init_utils.cpython-35.pyc(7KB)
--------testCase.cpython-35.pyc(3KB)
--------opt_utils.cpython-35.pyc(8KB)
--------tf_utils.cpython-35.pyc(4KB)
--------reg_utils.cpython-35.pyc(8KB)
--------gc_utils.cpython-35.pyc(2KB)
----reg_utils.py(8KB)
----9.mat(6KB)
----gc_utils.py(2KB)
Structuring Machine Learning Projects
----Week 2 Quiz - Autonomous driving (case study).md(11KB)
----Week 1 Quiz - Bird recognition in the city of Peacetopia (case study).md(7KB)
Neural Networks and Deep Learning
----Week 3 Quiz - Shallow Neural Networks.md(6KB)
----.ipynb_checkpoints()
--------Planar data classification with one hidden layer-checkpoint.ipynb(1.02MB)
--------Logistic Regression with a Neural Network mindset-checkpoint.ipynb(340KB)
--------Building your Deep Neural Network - Step by Step-checkpoint.ipynb(56KB)
--------Deep Neural Network - Application-checkpoint.ipynb(1.92MB)
----Logistic Regression with a Neural Network mindset.ipynb(341KB)
----Week 2 Quiz - Neural Network Basics.md(3KB)
----Planar data classification with one hidden layer.ipynb(527KB)
----testCases1.py(6KB)
----lr_utils.py(880B)
----dnn_utils.py(2KB)
----Deep Neural Network - Application.ipynb(256KB)
----images()
--------LlayerNN_kiank.png(279KB)
--------mn_backward.png(218KB)
--------model_architecture_kiank.png(159KB)
--------classification_kiank.png(136KB)
--------grad_summary.png(666KB)
--------LogReg_kiank.png(187KB)
--------sgd_bad.gif(63KB)
--------sgd.gif(41KB)
--------2layerNN_kiank.png(255KB)
--------imvectorkiank.png(373KB)
--------linearback_kiank.png(56KB)
--------my_image.jpg(621KB)
--------backprop_kiank.png(101KB)
--------final outline.png(557KB)
----week3OneHiddenLayer.py(5KB)
----Week 4 Quiz - Key concepts on Deep Neural Networks.md(5KB)
----Week 1 Quiz - Introduction to deep learning.md(4KB)
----planar_utils.py(2KB)
----datasets()
--------train_catvnoncat.h5(2.45MB)
--------test_catvnoncat.h5(602KB)
----testCases.py(4KB)
----dnn_app_utils.py(14KB)
----__pycache__()
--------testCases1.cpython-35.pyc(6KB)
--------planar_utils.cpython-35.pyc(2KB)
--------planar_utils.cpython-37.pyc(2KB)
--------testCases.cpython-37.pyc(4KB)
--------testCases.cpython-35.pyc(5KB)
--------lr_utils.cpython-37.pyc(801B)
--------dnn_utils.cpython-35.pyc(2KB)
--------lr_utils.cpython-35.pyc(859B)
--------dnn_app_utils.cpython-35.pyc(10KB)
----Building your Deep Neural Network - Step by Step.ipynb(56KB)