文件名称：吴恩达深度学习课程第4课，12周PPT以及作业数据集
文件大小：77.15MB
文件格式：RAR
更新时间：2022-03-20 13:15:54
DeepLearning
不能上传大于220M的文件，将吴恩达深度学习课程所有内容分成四部分，这是第三部分，第四课1，2周的PPT，以及作业文件，包含所需数据集。
【文件预览】：
Paper
----ResNet DeepResidualLearningforImageRecognition.pdf(800KB)
----LeNet Gradient-Based Learning Applied to Document.pdf(933KB)
----VGG-16 VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION.pdf(195KB)
----FaceNet A Unified Embedding for Face Recognition and Clusteringhttpsarxiv.orgpdf1503.03832.pdf.pdf(4.49MB)
----AlexNet- ImageNetClassificationwithDeepConvolutional NeuralNetworks.pdf(1.35MB)
----YOLO You Only Look Once. Unified RealTime Object Detection.pdf(5.05MB)
----DeepFace Closing the Gap to Human-Level Performance in Face Verification.pdf(1.98MB)
Week 02
----Untitled.ipynb(72B)
----ResNets()
--------images()
--------model.png(592KB)
--------resnets_utils.py(5KB)
--------Residual Networks - v2.ipynb(35KB)
--------.gitignore(11B)
--------Residual Networks - v1.ipynb(35KB)
--------datasets()
----KerasTutorial()
--------images()
--------Keras - Tutorial - Happy House v1.ipynb(17KB)
--------kt_utils.py(992B)
--------Keras - Tutorial - Happy House v2.ipynb(17KB)
--------datasets()
----Quiz()
--------Week 2 Quiz.htm(7.5MB)
----Lecture slides()
--------C4W2L07-InceptionNetwork.pdf(588KB)
--------C4W2L06-InceptionNetworkMotivation.pdf(436KB)
--------C4W2L01-WhyLookAtCaseStudies.pdf(322KB)
--------C4W2L02-ClassicNetworks.pdf(468KB)
--------C4W2L03-ResNets.pdf(431KB)
--------C4W2L05-NetworkinNetworkand1x1.pdf(423KB)
Week 01
----Untitled.ipynb(72B)
----images()
--------a_pool.png(344KB)
--------conv_kiank.mp4(8.37MB)
--------ave_pool1.png(345KB)
--------PAD.png(298KB)
--------conv1.png(468KB)
--------ave-pool.png(344KB)
--------model.png(81KB)
--------max_pool.png(390KB)
--------thumbs_up.jpg(989KB)
--------conv.png(138KB)
--------max_pool1.png(333KB)
--------conv_nn.png(31KB)
--------average_pool.png(413KB)
--------vert_horiz_kiank.png(87KB)
--------Convolution_schematic.gif(64KB)
--------SIGNS.png(484KB)
----Convolution model - Application - v1.ipynb(27KB)
----Convolution model - Step by Step - v2.ipynb(48KB)
----Quiz()
--------Week 1 quiz.htm(7.46MB)
----Lecture slides()
--------C4 Week 1()
----Week 01.7z(15.68MB)
----Convolution model - Step by Step - v1.ipynb(48KB)
----cnn_utils.py(6KB)
----datasets()
--------test_signs.h5(1.41MB)
--------train_signs.h5(12.67MB)