【尊享】ZX042 – AI项目就业班 [24.1G]

【尊享】ZX042 – AI项目就业班 [24.1G]

┣━━01.第一周 [981M]
┃ ┣━━录播 [974.8M]
┃ ┃ ┣━━【1.1】开学典礼.vep [205.9M]
┃ ┃ ┣━━【1.2】初探人工智能.vep [295.8M]
┃ ┃ ┣━━【1.3】计算机视觉.vep [237.1M]
┃ ┃ ┗━━【1.4】数学基础.vep [236.1M]
┃ ┣━━预习 [1.7M]
┃ ┃ ┗━━【04】图像和视频.pdf [1.7M]
┃ ┗━━PPT [4.5M]
┃ ┣━━【01】开学典礼.pdf [247.4K]
┃ ┣━━【02】计算机视觉简介.pdf [3.2M]
┃ ┗━━【03】机器学习涉及的数学基础.pdf [1.1M]
┣━━02.第二周 [1.5G]
┃ ┣━━代码 [709.7K]
┃ ┃ ┣━━bilinear interpolation.py [1.8K]
┃ ┃ ┣━━Histogram Equalization.py [974B]
┃ ┃ ┣━━histogram.py [1.4K]
┃ ┃ ┣━━lenna.png [702.8K]
┃ ┃ ┣━━nearest interp.py [498B]
┃ ┃ ┣━━sobel.py [1.4K]
┃ ┃ ┗━━test_image_gray.py [999B]
┃ ┣━━录播 [1.5G]
┃ ┃ ┣━━【2.1】图像和视频.vep [223.7M]
┃ ┃ ┣━━【2.2】上采样和下采样.vep [465.3M]
┃ ┃ ┣━━【2.3】直方图均衡化.vep [333.2M]
┃ ┃ ┗━━【2.4】滤波和卷积.vep [469.8M]
┃ ┣━━预习 [1.1M]
┃ ┃ ┗━━【05】特征选择与特征提取.pdf [1.1M]
┃ ┗━━PPT [1.7M]
┃ ┗━━【04】图像和视频.pdf [1.7M]
┣━━03.第三周 [1.3G]
┃ ┣━━代码 [6.5K]
┃ ┃ ┣━━canny_track.py [1.3K]
┃ ┃ ┣━━canny.py [462B]
┃ ┃ ┣━━laplace.py [881B]
┃ ┃ ┣━━PCA_numpy.py [935B]
┃ ┃ ┣━━PCA_sklearn.py [488B]
┃ ┃ ┣━━PCA.py [954B]
┃ ┃ ┗━━sobel_laplace_canny.py [1.5K]
┃ ┣━━视频 [1.3G]
┃ ┃ ┣━━【3.1】特征选择.vep [222.3M]
┃ ┃ ┣━━【3.2】特征提取.vep [209.5M]
┃ ┃ ┣━━【3.3】特征提取之PCA.vep [334.7M]
┃ ┃ ┗━━【3.4】边缘提取&Canny算法.vep [537.4M]
┃ ┣━━预习 [2M]
┃ ┃ ┣━━【07】相机模型.pdf [1.1M]
┃ ┃ ┗━━【08】图像聚类算法.pdf [914.3K]
┃ ┗━━PPT [2.3M]
┃ ┣━━【05】特征选择与特征提取.pptx [1.2M]
┃ ┗━━【06】边缘提取.pdf [1.1M]
┣━━04.第四周 [1.4G]
┃ ┣━━代码 [855.8K]
┃ ┃ ┣━━透视变换.py [701B]
┃ ┃ ┣━━K-Means_athlete.py [1.9K]
┃ ┃ ┣━━K-Means_RGB.py [2.3K]
┃ ┃ ┣━━K-Means.py [1.8K]
┃ ┃ ┣━━lenna.png [702.8K]
┃ ┃ ┣━━photo1.jpg [145.1K]
┃ ┃ ┗━━warpMatrix.py [1.3K]
┃ ┣━━视频 [1.4G]
┃ ┃ ┣━━【4.1】相机模型.vep [339.7M]
┃ ┃ ┣━━【4.2】镜头畸变.vep [204M]
┃ ┃ ┣━━【4.3】透视变换.vep [311.5M]
┃ ┃ ┗━━【4.4】图像聚类-Kmeans.vep [546.4M]
┃ ┣━━预习 [1M]
┃ ┃ ┗━━【09】坐标变换与视觉测量.pdf [1M]
┃ ┗━━PPT [2M]
┃ ┣━━【07】相机模型.pdf [1.1M]
┃ ┗━━【08】图像聚类算法.pdf [914.3K]
┣━━05.第五周 [1.1G]
┃ ┣━━代码 [4.2K]
┃ ┃ ┣━━层次聚类.py [939B]
┃ ┃ ┣━━密度聚类.py [938B]
┃ ┃ ┗━━spectral_cluster.py [2.3K]
┃ ┣━━视频 [1.1G]
┃ ┃ ┣━━【5.1】层次聚类&谱聚类.vep [285.8M]
┃ ┃ ┣━━【5.2】左右手坐标系.vep [328M]
┃ ┃ ┣━━【5.3】旋转矩阵.vep [251.9M]
┃ ┃ ┗━━【5.4】欧拉角.vep [270.6M]
┃ ┣━━预习 [1.7M]
┃ ┃ ┗━━【10】三维计算机视觉.pdf [1.7M]
┃ ┗━━PPT [1M]
┃ ┗━━【09】坐标变换与视觉测量.pdf [1M]
┣━━06.第六周 [1.1G]
┃ ┣━━代码 [441.8K]
┃ ┃ ┣━━iphone1.png [237.9K]
┃ ┃ ┣━━iphone2.png [202K]
┃ ┃ ┣━━SIFT_关键点.py [656B]
┃ ┃ ┗━━SIFT_特征匹配.py [1.3K]
┃ ┣━━视频 [1.1G]
┃ ┃ ┣━━【6.1】立体视觉.vep [240.4M]
┃ ┃ ┣━━【6.2】高斯金字塔.vep [316.8M]
┃ ┃ ┣━━【6.3】SIFT.vep [306.5M]
┃ ┃ ┗━━【6.4】点云&三维重建.vep [282.5M]
┃ ┣━━预习 [2.3M]
┃ ┃ ┣━━【12】图像滤波器.pdf [861.2K]
┃ ┃ ┗━━【13】OpenCV算法解析.pdf [1.4M]
┃ ┗━━PPT [3.1M]
┃ ┣━━【10】三维计算机视觉.pdf [1.7M]
┃ ┗━━【11】点云模型.pdf [1.3M]
┣━━07.第七周 [1.4G]
┃ ┣━━代码 [1.4M]
┃ ┃ ┣━━最小二乘法 [646B]
┃ ┃ ┃ ┣━━Least squares.py [620B]
┃ ┃ ┃ ┗━━train_data.csv [26B]
┃ ┃ ┣━━高斯噪声.py [1.3K]
┃ ┃ ┣━━椒盐噪声.py [1.3K]
┃ ┃ ┣━━噪声.py [1.9K]
┃ ┃ ┣━━Hash.py [1.9K]
┃ ┃ ┣━━lenna_noise.png [704.5K]
┃ ┃ ┣━━lenna.png [702.8K]
┃ ┃ ┗━━ransac.py [7.7K]
┃ ┣━━视频 [1.3G]
┃ ┃ ┣━━【7.1】图像噪声.vep [362.9M]
┃ ┃ ┣━━【7.2】图像滤波.vep [314.2M]
┃ ┃ ┣━━【7.3】OpenCV.vep [438.4M]
┃ ┃ ┗━━【7.4】神经元.vep [266.4M]
┃ ┣━━预习 [0B]
┃ ┣━━PPT [3.8M]
┃ ┃ ┣━━【12】图像滤波器.pdf [861.2K]
┃ ┃ ┣━━【13】OpenCV算法解析.pdf [1.4M]
┃ ┃ ┗━━【14】深度学习与神经网络.pdf [1.5M]
┃ ┗━━第七周.txt [160B]
┣━━08.第八周 [1016M]
┃ ┣━━代码 [1K]
┃ ┃ ┗━━标准化.py [1K]
┃ ┣━━视频 [1013M]
┃ ┃ ┣━━【8.1】深度学习.vep [263M]
┃ ┃ ┣━━【8.2】推理和训练.vep [224.1M]
┃ ┃ ┣━━【8.3】推理和训练.vep [333.5M]
┃ ┃ ┗━━【8.4】手算训练示例.vep [192.5M]
┃ ┣━━预习 [0B]
┃ ┗━━PPT [3M]
┃ ┣━━【14】深度学习与神经网络.pdf [1.5M]
┃ ┗━━【15】推理和训练.pdf [1.5M]
┣━━09.第九周 [2.3G]
┃ ┣━━代码 [243.2K]
┃ ┃ ┣━━NeuralNetWork_从零开始 [237.1K]
┃ ┃ ┃ ┣━━dataset [216.3K]
┃ ┃ ┃ ┃ ┣━━mnist_test.csv [17.6K]
┃ ┃ ┃ ┃ ┣━━mnist_train.csv [177.8K]
┃ ┃ ┃ ┃ ┣━━my_own_2.png [3.2K]
┃ ┃ ┃ ┃ ┣━━my_own_3.png [3.1K]
┃ ┃ ┃ ┃ ┣━━my_own_4.png [3.2K]
┃ ┃ ┃ ┃ ┣━━my_own_5.png [3.1K]
┃ ┃ ┃ ┃ ┣━━my_own_6.png [3.4K]
┃ ┃ ┃ ┃ ┣━━my_own_image.png [783B]
┃ ┃ ┃ ┃ ┗━━my_own_noisy_6.png [4.2K]
┃ ┃ ┃ ┣━━画图.py [714B]
┃ ┃ ┃ ┣━━NeuralNetWork_init_detail.py [5.2K]
┃ ┃ ┃ ┣━━NeuralNetWork_init.py [2.2K]
┃ ┃ ┃ ┣━━NeuralNetWork_run_detail.py [3.7K]
┃ ┃ ┃ ┣━━NeuralNetWork_train_detail.py [3.9K]
┃ ┃ ┃ ┗━━NeuralNetWork.py [5.1K]
┃ ┃ ┣━━pytorch [0B]
┃ ┃ ┣━━keras.py [4.6K]
┃ ┃ ┗━━tf.py [1.5K]
┃ ┣━━视频 [2.3G]
┃ ┃ ┣━━【9.1】keras实现神经网络.vep [435.3M]
┃ ┃ ┣━━【9.2】从零开始实现神经网络.vep [1.1G]
┃ ┃ ┣━━【9.3】深度学习开源框架.vep [262.2M]
┃ ┃ ┗━━【9.4】tensoflow&pytorch.vep [529.6M]
┃ ┣━━预习 [1.3M]
┃ ┃ ┗━━【18】卷积神经网络.pdf [1.3M]
┃ ┗━━PPT [1.9M]
┃ ┣━━【16】从零开始训练网络.pdf [515.6K]
┃ ┗━━【17】深度学习开源框架.pdf [1.3M]
┣━━10.第十周 [3.3G]
┃ ┣━━代码 [1.3G]
┃ ┃ ┣━━AlexNet-Keras.rar [565.6M]
┃ ┃ ┣━━Cifar.rar [303.5M]
┃ ┃ ┗━━VGG16-tf.rar [491.8M]
┃ ┣━━视频 [1.9G]
┃ ┃ ┣━━【10.1】卷积神经网络.vep [203.2M]
┃ ┃ ┣━━【10.2】cifar实例.vep [769.4M]
┃ ┃ ┣━━【10.3】Alexnet.vep [620.2M]
┃ ┃ ┗━━【10.4】图像识别&VGG.vep [403.8M]
┃ ┣━━PPT [3.3M]
┃ ┃ ┣━━【18】卷积神经网络.pdf [1.3M]
┃ ┃ ┗━━【19】图像识别.pdf [2M]
┃ ┗━━VGG.pdf [195.3K]
┣━━11.第十一周 [1.6G]
┃ ┣━━代码 [206.3M]
┃ ┃ ┣━━inceptionV3_tf [91.7M]
┃ ┃ ┃ ┣━━elephant.jpg [23.4K]
┃ ┃ ┃ ┣━━inception_v3_weights_tf_dim_ordering_tf_kernels.h5 [91.7M]
┃ ┃ ┃ ┗━━inceptionV3.py [9.3K]
┃ ┃ ┣━━mobilenet [16.5M]
┃ ┃ ┃ ┣━━elephant.jpg [23.4K]
┃ ┃ ┃ ┣━━mobilenet_1_0_224_tf.h5 [16.4M]
┃ ┃ ┃ ┗━━mobilenet.py [4.4K]
┃ ┃ ┗━━resnet50_keras [98.2M]
┃ ┃ ┣━━bike.jpg [67.4K]
┃ ┃ ┣━━elephant.jpg [23.4K]
┃ ┃ ┣━━resnet50_weights_tf_dim_ordering_tf_kernels.h5 [98.1M]
┃ ┃ ┗━━resnet50.py [4.6K]
┃ ┣━━视频 [1.4G]
┃ ┃ ┣━━【11.1】resnet.vep [479.3M]
┃ ┃ ┣━━【11.2】inceptionV1.vep [270.3M]
┃ ┃ ┣━━【11.3】InceptionV3.vep [346.9M]
┃ ┃ ┗━━【11.4】Mobilenet&神经网络设计技巧.vep [319.9M]
┃ ┣━━预习 [2.6M]
┃ ┃ ┗━━【20】物体检测.pdf [2.6M]
┃ ┣━━PPT [2M]
┃ ┃ ┗━━【19】图像识别.pdf [2M]
┃ ┗━━googlenet.pdf [1.2M]
┣━━12.第十二周 [1.6G]
┃ ┣━━代码 [550.4M]
┃ ┃ ┣━━faster-rcnn-keras-master.rar [111.7M]
┃ ┃ ┗━━VOCtrainval_06-Nov-2007.tar [438.7M]
┃ ┣━━视频 [1.1G]
┃ ┃ ┣━━【12.1】目标检测.vep [217.3M]
┃ ┃ ┣━━【12.2】目标检测2.vep [216.9M]
┃ ┃ ┣━━【12.3】faster-rcnn.vep [225.8M]
┃ ┃ ┗━━【12.3】faster-rcnn2.vep [432.2M]
┃ ┗━━PPT [2.6M]
┃ ┗━━【20】物体检测.pdf [2.6M]
┣━━13.第十三周 [1.5G]
┃ ┣━━代码 [394.2M]
┃ ┃ ┣━━mtcnn-keras-master [2.3M]
┃ ┃ ┃ ┗━━mtcnn-keras-master [2.3M]
┃ ┃ ┃ ┣━━__pycache__ [9.7K]
┃ ┃ ┃ ┃ ┣━━mtcnn.cpython-37.pyc [4.6K]
┃ ┃ ┃ ┃ ┗━━utils.cpython-37.pyc [5.1K]
┃ ┃ ┃ ┣━━img [299.4K]
┃ ┃ ┃ ┃ ┣━━out.jpg [85.9K]
┃ ┃ ┃ ┃ ┣━━test1.jpg [44.3K]
┃ ┃ ┃ ┃ ┗━━timg.jpg [169.2K]
┃ ┃ ┃ ┣━━model_data [2M]
┃ ┃ ┃ ┃ ┣━━onet.h5 [1.5M]
┃ ┃ ┃ ┃ ┣━━pnet.h5 [55.8K]
┃ ┃ ┃ ┃ ┗━━rnet.h5 [428K]
┃ ┃ ┃ ┣━━detect.py [1.1K]
┃ ┃ ┃ ┣━━mtcnn.py [7.1K]
┃ ┃ ┃ ┣━━README.md [175B]
┃ ┃ ┃ ┗━━utils.py [6.6K]
┃ ┃ ┗━━yolo3-tensorflow-master [391.8M]
┃ ┃ ┣━━__pycache__ [37.1K]
┃ ┃ ┃ ┣━━config.cpython-36.pyc [1K]
┃ ┃ ┃ ┣━━config.cpython-37.pyc [1K]
┃ ┃ ┃ ┣━━dataReader.cpython-36.pyc [12K]
┃ ┃ ┃ ┣━━utils.cpython-36.pyc [3.7K]
┃ ┃ ┃ ┣━━utils.cpython-37.pyc [3.7K]
┃ ┃ ┃ ┣━━yolo_predict.cpython-36.pyc [7.8K]
┃ ┃ ┃ ┗━━yolo_predict.cpython-37.pyc [7.8K]
┃ ┃ ┣━━font [128.7K]
┃ ┃ ┃ ┣━━FiraMono-Medium.otf [124.4K]
┃ ┃ ┃ ┗━━SIL Open Font License.txt [4.3K]
┃ ┃ ┣━━img [138.5K]
┃ ┃ ┃ ┣━━img.jpg [27.5K]
┃ ┃ ┃ ┣━━img2.jpg [71.5K]
┃ ┃ ┃ ┗━━result1.jpg [39.5K]
┃ ┃ ┣━━logs [0B]
┃ ┃ ┣━━model [37.1K]
┃ ┃ ┃ ┣━━__pycache__ [20.7K]
┃ ┃ ┃ ┃ ┣━━yolo3_model.cpython-36.pyc [10.4K]
┃ ┃ ┃ ┃ ┗━━yolo3_model.cpython-37.pyc [10.4K]
┃ ┃ ┃ ┗━━yolo3_model.py [16.3K]
┃ ┃ ┣━━model_data [391.5M]
┃ ┃ ┃ ┣━━coco_classes.txt [703B]
┃ ┃ ┃ ┣━━darknet53.weights [155M]
┃ ┃ ┃ ┣━━voc_classes.txt [135B]
┃ ┃ ┃ ┣━━yolo_anchors.txt [76B]
┃ ┃ ┃ ┗━━yolov3.weights [236.5M]
┃ ┃ ┣━━config.py [742B]
┃ ┃ ┣━━detect.py [5.2K]
┃ ┃ ┣━━gen_anchors.py [6.1K]
┃ ┃ ┣━━predict.sh [39B]
┃ ┃ ┣━━utils.py [4.7K]
┃ ┃ ┗━━yolo_predict.py [10.1K]
┃ ┣━━视频 [1.1G]
┃ ┃ ┣━━【13上】yolo [521M]
┃ ┃ ┃ ┣━━1.vep [38.4M]
┃ ┃ ┃ ┣━━2.vep [51.8M]
┃ ┃ ┃ ┣━━3.vep [40.2M]
┃ ┃ ┃ ┣━━4.vep [48.6M]
┃ ┃ ┃ ┣━━5.vep [40.5M]
┃ ┃ ┃ ┣━━6.vep [32.9M]
┃ ┃ ┃ ┣━━7.vep [59.9M]
┃ ┃ ┃ ┣━━8.vep [44.2M]
┃ ┃ ┃ ┣━━9.vep [44.9M]
┃ ┃ ┃ ┣━━10.vep [86.4M]
┃ ┃ ┃ ┗━━11.vep [33.1M]
┃ ┃ ┣━━【13.2】人脸检测mtcnn.vep [340.3M]
┃ ┃ ┗━━【13.3】图像分割-deconv&fpn.vep [289.5M]
┃ ┗━━PPT [6M]
┃ ┣━━【20】物体检测.pdf [2.6M]
┃ ┣━━【21】人脸检测.pdf [1.1M]
┃ ┗━━【22】图像分割.pdf [2.3M]
┣━━14.第十四周 [1.7G]
┃ ┣━━代码 [257.1M]
┃ ┃ ┣━━jieba-master.rar [23.2M]
┃ ┃ ┗━━mask-rcnn-keras-master.rar [233.9M]
┃ ┣━━视频 [1.5G]
┃ ┃ ┣━━【14.1】maskrcnn.vep [405.3M]
┃ ┃ ┣━━【14.1】maskrcnn(1).vep [405.3M]
┃ ┃ ┣━━【14.2】自然语言处理.vep [199.8M]
┃ ┃ ┣━━【14.3】中文分词.vep [205.8M]
┃ ┃ ┗━━【14.4】HMM模型.vep [303.5M]
┃ ┗━━PPT [4.2M]
┃ ┣━━【22】图像分割.pdf [2.3M]
┃ ┣━━【23】自然语言处理.pdf [928.1K]
┃ ┗━━【24】中文分词.pdf [1014.5K]
┣━━15.第十五周 [1G]
┃ ┣━━代码 [27.4M]
┃ ┃ ┗━━poems-generator-master [27.4M]
┃ ┃ ┣━━__pycache__ [5.3K]
┃ ┃ ┃ ┗━━utils.cpython-37.pyc [5.3K]
┃ ┃ ┣━━logs [17.7M]
┃ ┃ ┃ ┣━━loss4.419-val_loss4.009.h5 [17.7M]
┃ ┃ ┃ ┗━━README.md [38B]
┃ ┃ ┣━━poem_keras.py [2.2K]
┃ ┃ ┣━━poetry.txt [9.7M]
┃ ┃ ┣━━predict.py [913B]
┃ ┃ ┣━━README.md [588B]
┃ ┃ ┗━━utils.py [6.7K]
┃ ┣━━视频 [1009.8M]
┃ ┃ ┣━━【15.1】词性标注&句法分析.vep [197.8M]
┃ ┃ ┣━━【15.2】词向量.vep [234.8M]
┃ ┃ ┣━━【15.3】情感分析&RNN.vep [264.3M]
┃ ┃ ┗━━【15.4】LSTM.vep [312.8M]
┃ ┗━━PPT [3.7M]
┃ ┣━━【25】句法分析&词向量.pdf [1.2M]
┃ ┣━━【26】NLP常见场景–情感分析.pdf [881.3K]
┃ ┗━━【27】循环神经网络.pdf [1.6M]
┗━━16.第十六周 [1.4G]
┣━━代码 [21.4K]
┃ ┣━━生成对抗网络 [5.5K]
┃ ┃ ┣━━images [0B]
┃ ┃ ┗━━GAN_minist.py [5.5K]
┃ ┗━━transformer-tf [16K]
┃ ┗━━transformer.py [16K]
┣━━视频 [1.3G]
┃ ┣━━【16.1】transformer.vep [286.9M]
┃ ┣━━【16.2】transformer&bert.vep [426M]
┃ ┣━━【16.3】生成模型.vep [446.6M]
┃ ┗━━【16.4】就业指导.vep [222.2M]
┣━━PPT [4.5M]
┃ ┣━━【28】transformer-bert.pdf [1.9M]
┃ ┣━━【29】生成模型.pdf [1.7M]
┃ ┗━━【30】就业指导.pdf [873.1K]
┗━━transformer.pdf [2.1M]

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