2021八斗学院AI教程

【必备】ai电子书籍 [797.14M]

《统计学习方法》第2版课件.zip [55.18M]

2019人工智能发展报告.pdf [20.04M]

lda漫游指南.pdf [5.96M]

learning from data_低配版.pdf [26.48M]

opencv-contrib modules中文教程抢鲜版.pdf [3.93M]

python视觉实战项目52讲.pdf [114.93M]

pytorch常用函数手册.pdf [5.10M]

百面机器学习算法工程师带你去面试.pdf [25.14M]

程序员的数学1.pdf [11.83M]

程序员的数学2-概率统计 ,平冈和幸，（日）堀玄著 ,p406.pdf [83.59M]

程序员的数学3-线性代数.pdf [57.71M]

动手学深度学习.pdf [12.52M]

机器人建模和控制@www.java1234.com.pdf [104.41M]

机器学习[西瓜书].zip [74.90M]

机器学习实战.pdf [13.41M]

科来网络通讯协议图.pdf [3.76M]

南瓜书.pdf [1.00M]

深度学习(花书).pdf [30.77M]

数学之美第2版.zip [40.48M]

算法新解-刘新宇.pdf [5.90M]

统计学习方法（李航）.pdf [17.56M]

统计学习方法.zip [17.04M]

推荐系统实践.pdf [13.27M]

吴恩达资料.txt [0.05K]

西瓜书.pdf [37.53M]

项亮-推荐系统实践.pdf [13.27M]

支持向量机通俗导论（理解svm的三层境界）latex最新版_2015.1.9.pdf [1.44M]

【讲座 】 最落地的图像识别实践案例 [1.39G]

代码 [563.51M]

alexnet-keras-master.zip [183.55K]

last1.h5 [20.17M]

readme.txt [0.20K]

train.zip [543.16M]

公开课-卷积神经网络.pdf [2.59M]

最落地的图像识别案例.mp4 [855.05M]

【讲座】bert大家族讲解（论文、代码、ppt） [935.20M]

公开课-论文&代码&课件 [23.48M]

albert.pdf [282.69K]

bert family.pptx [4.02M]

bert.pdf [757.00K]

diy_bert.py [10.61K]

elmo.pdf [416.04K]

ernie-baidu.pdf [338.04K]

ernie-qinghua.pdf [1.69M]

gpt.pdf [575.51K]

gpt2.pdf [634.94K]

gpt3.pdf [6.45M]

nezha.pdf [149.01K]

roberta.pdf [204.76K]

spanbert.pdf [1.46M]

t5.pdf [1.09M]

transformer-xl.pdf [4.36M]

unilm.pdf [413.63K]

xlnet.pdf [740.57K]

bert大家族讲解讲座回放.mp4 [911.73M]

【讲座】nlp少样本困境破局之道–文本增强 [1.17G]

论文&课程ppt [5.72M]

cbert.pdf [442.78K]

contextual augment.pdf [658.92K]

eda.pdf [372.94K]

lambada.pdf [636.35K]

uda.pdf [997.94K]

文本增强公开课.pptx [2.68M]

文本增强.mp4 [1.16G]

【讲座】彻底搞懂 google bert 模型 [792.59M]

attention is all you need.pdf [2.09M]

bert.pdf [805.08K]

bert介绍.pptx [1.93M]

diy_bert.py [10.50K]

r-bert关系抽取.pdf [241.97K]

sentence bert.pdf [534.53K]

彻底搞懂 google bert 模型.mp4 [787.01M]

【讲座】从0到1带你构建知识图谱 [1.10G]

知识图谱论文资源 [45.47M]

0643.pdf [233.45K]

12484-55980-1-pb (1).pdf [683.13K]

12484-55980-1-pb.pdf [683.13K]

1606.04422.pdf [150.07K]

1709.05453.pdf [644.14K]

1711.04071.pdf [818.89K]

1804.08217.pdf [1.07M]

1811.00146.pdf [770.35K]

1902.10197.pdf [661.40K]

1904.09223.pdf [340.90K]

1905.07129.pdf [1.70M]

1906.05317.pdf [1.27M]

1907.12412.pdf [423.33K]

1909.01066.pdf [335.19K]

1909.04164.pdf [403.55K]

1909.05311.pdf [459.07K]

1909.05855.pdf [1.21M]

1909.08402.pdf [458.24K]

1911.06136.pdf [2.12M]

1911.07132.pdf [2.59M]

1911.12753.pdf [140.27K]

1912.00147.pdf [2.95M]

1912.07491.pdf [393.97K]

1912.09637.pdf [1.58M]

2001.00461.pdf [962.10K]

2002.00388 .pdf [2.00M]

2002.00388.pdf [2.00M]

2003.02320.pdf [2.27M]

2005.00206.pdf [938.50K]

2009.02252v1.pdf [818.19K]

2107.13349.pdf [2.00M]

2107.13715.pdf [811.53K]

3394486.3403323.pdf [3.00M]

c16-1062.pdf [258.73K]

cikm_2020_sun.pdf [1.68M]

d16-1245.pdf [1.10M]

d17-1123.pdf [176.94K]

emnlp-tacl5.pdf [552.62K]

n18-2108.pdf [233.58K]

p19-1226.pdf [1.70M]

query2box_reasoning_over_knowl (1).pdf [482.20K]

query2box_reasoning_over_knowl.pdf [482.20K]

scarlini_etal_aaai2020.pdf [558.56K]

知识图谱表示学习综述.pptx [1.70M]

kgqa_base_on_sentence_match.rar [33.61K]

从0到1带你构建知识图谱.mp4 [1.05G]

知识图谱公开课.pptx [2.69M]

【讲座】无中生有，fake图像！ [2.26G]

【ppt】随堂课程 [3.20M]

公开课-生成模型.pdf [3.20M]

【代码】配套案例 [5.32K]

「随堂代码」gan_minist.py [5.32K]

【视频】生成模型 [2.25G]

无中生有，fake图像.mp4 [2.25G]

【实战】入门图像识别 [4.75G]

【ppt】随堂课程 [15.26M]

图像识别-01 ppt 01-2 [3.37M]

【19】图像识别.pptx [3.37M]

图像识别0203-ppt0203-2 [5.19M]

【19】图像识别.pdf [2.37M]

【20】物体检测.pdf [2.82M]

【13】opencv算法解析.pptx [4.67M]

【14】深度学习与神经网络.pptx [2.04M]

【代码】配套案例 [2.13G]

图像识别-01代码01-1 [1.93G]

cifar [338.02M]

cifar_data [338.01M]

cifar-10-batches-bin [175.84M]

batches.meta.txt [0.06K]

data_batch_1.bin [29.31M]

data_batch_2.bin [29.31M]

data_batch_3.bin [29.31M]

data_batch_4.bin [29.31M]

data_batch_5.bin [29.31M]

readme.html [0.09K]

test_batch.bin [29.31M]

cifar-10-binary.tar.gz [162.17M]

cifar-10.py [5.49K]

cifar10_data.py [6.26K]

vgg16-tensorflow [527.93M]

__pycache__ [3.01K]

utils.cpython-36.pyc [1.48K]

utils.cpython-37.pyc [1.52K]

model [527.80M]

vgg_16.ckpt [527.80M]

nets [5.20K]

__pycache__ [2.32K]

vgg16.cpython-36.pyc [1.14K]

vgg16.cpython-37.pyc [1.18K]

vgg16.py [2.88K]

test_data [97.39K]

dog.jpg [47.27K]

table.jpg [50.12K]

demo.py [0.75K]

synset.txt [31.91K]

utils.py [1.27K]

alexnet-keras-master.rar [565.92M]

train.zip [543.16M]

图像识别0203-代码0203-1 [206.33M]

inceptionv3_tf [91.69M]

elephant.jpg [23.39K]

inception_v3_weights_tf_dim_ordering_tf_kernels.h5 [91.66M]

inceptionv3.py [9.29K]

mobilenet [16.46M]

elephant.jpg [23.39K]

mobilenet.py [4.35K]

mobilenet_1_0_224_tf.h5 [16.43M]

resnet50_tf [98.18M]

bike.jpg [67.36K]

elephant.jpg [23.39K]

resnet50.py [4.56K]

resnet50_weights_tf_dim_ordering_tf_kernels.h5 [98.09M]

最小二乘法 [0.62K]

least squares.py [0.60K]

train_data.csv [0.03K]

dct.py [1.44K]

hash.py [1.86K]

hash_all.py [5.81K]

hash_素材生成.py [4.01K]

lenna_noise.png [704.52K]

phash.py [1.58K]

ransac.py [7.50K]

【视频】图像识别 [2.61G]

cnn图像识别01.mp4 [705.57M]

cnn图像识别02.mp4 [431.65M]

cnn图像识别03.mp4 [462.19M]

opencv .mp4 [252.14M]

ransac.mp4 [257.88M]

哈希算法.mp4 [261.02M]

深度学习与神经网络.mp4 [234.52M]

最小二乘法 .mp4 [64.16M]

【实战】主流深度学习框架 [3.80G]

【ppt】随堂课程 [5.31M]

从零开始训练网络.pptx [643.41K]

卷积神经网络.pptx [3.09M]

深度学习开源框架.pptx [1.59M]

【代码】配套案例 [21.63M]

代码(解压密码：badouai)（卷积神经网络）.zip [59.51K]

代码(解压密码：badouai)深度学习.zip [21.57M]

【视频】深度学习框架 [3.77G]

从零开始训练网络01.mp4 [956.25M]

从零开始训练网络02.mp4 [77.41M]

从零开始训练网络03.mp4 [433.66M]

从零开始训练网络04.mp4 [184.47M]

卷积神经网络04.mp4 [338.96M]

深度学习开源框架.mp4 [201.79M]

深度学习开源框架01.mp4 [188.03M]

深度学习开源框架02.mp4 [493.14M]

深度学习开源框架03.mp4 [421.00M]

推理和训练.mp4 [570.54M]

【实战】最火的行人目标检测 [1.21G]

yolo3-tensorflow-master.rar [365.57M]

公开课-yolo.pdf [2.56M]

最火的车辆行人检测.mp4 [867.67M]

01、最新保姆级计算机视觉学习路线 [9.32G]

【1】初入人工智能 [1.17G]

ppt [3.08M]

【01】开学典礼.pdf [164.08K]

【02】计算机视觉简介.pdf [2.92M]

视频 [1.17G]

【1.1】开学典礼.mp4 [199.77M]

【1.2】初入人工智能.mp4 [375.18M]

【1.3】机器学习&深度学习.mp4 [317.51M]

【1.4】计算机视觉.mp4 [303.93M]

【2】数学基础&数字图像 [1.46G]

ppt [3.43M]

【03】机器学习涉及的数学基础.pdf [1.20M]

【04】数字图像.pdf [2.24M]

代码 [706.60K]

bilinear interpolation.py [1.77K]

lenna.png [702.77K]

nearest interp.py [0.50K]

test_image_gray.py [1.55K]

视频 [1.46G]

【2.1】数学基础1.mp4 [233.00M]

【2.2】数学基础2.mp4 [260.71M]

【2.3】数字图像.mp4 [351.69M]

【2.4】插值算法.mp4 [645.43M]

【3】数字图像&特征提取 [1.51G]

ppt [1.42M]

【05】特征选择与特征提取.pdf [1.42M]

代码 [7.98K]

histogram equalization.py [0.95K]

histogram.py [1.38K]

pca.py [0.93K]

pca_numpy.py [0.91K]

pca_numpy_detail.py [3.33K]

pca_sklearn.py [0.47K]

视频 [1.50G]

【3.1】直方图均衡化.mp4 [330.60M]

【3.2】卷积&滤波.mp4 [477.55M]

【3.3】特征选择.mp4 [235.35M]

【3.4】pca.mp4 [496.24M]

【4】边缘检测&相机模型 [1.48G]

ppt [2.15M]

【06】边缘提取.pdf [1.13M]

【07】相机模型.pdf [1.01M]

代码 [157.09K]

canny.py [0.45K]

canny_detail.py [6.84K]

canny_track.py [1.35K]

photo1.jpg [145.07K]

sobel_laplace_canny.py [1.50K]

warpmatrix.py [1.32K]

透视变换.py [0.57K]

视频 [1.48G]

【4.1】边缘检测.mp4 [223.46M]

【4.2】canny.mp4 [564.54M]

【4.3】相机模型.mp4 [244.20M]

【4.4】透视变换.mp4 [480.32M]

【5】立体视觉&图像聚类 [1.09G]

ppt [3.38M]

【08】立体视觉.pdf [959.14K]

【09】点云模型.pdf [1.46M]

【10】图像聚类算法.pdf [0.98M]

代码 [8.03K]

k-means.py [2.05K]

k-means_athlete.py [1.89K]

k-means_rgb.py [2.25K]

层次聚类.py [0.92K]

密度聚类.py [0.92K]

视频 [1.09G]

【5.1】立体视觉-双目系统.mp4 [231.80M]

【5.2】点云模型.mp4 [290.60M]

【5.3】kmeans.mp4 [313.94M]

【5.4】层次聚类&密度聚类.mp4 [275.29M]

【6】图像滤波&sift [1.37G]

ppt [2.74M]

【11】图像滤波器.pdf [995.01K]

【12】尺度不变特征变换-sift.pdf [1.77M]

代码 [446.10K]

iphone1.png [237.87K]

iphone2.png [202.00K]

sift_关键点.py [0.64K]

sift_特征匹配.py [1.26K]

高斯噪声.py [1.29K]

椒盐噪声.py [1.16K]

噪声.py [1.88K]

视频 [1.37G]

【6.1】图像噪声.mp4 [396.06M]

【6.2】图像增强.mp4 [278.48M]

【6.3】sift1.mp4 [280.56M]

【6.4】sift2.mp4 [443.54M]

【7】opencv&深度学习 [1.24G]

ppt [3.52M]

【13】opencv算法解析.pdf [1.63M]

【14】深度学习与神经网络.pdf [1.89M]

代码 [1.38M]

最小二乘法 [0.63K]

least squares.py [0.61K]

train_data.csv [0.03K]

hash.py [1.86K]

lenna.png [702.77K]

lenna_noise.png [704.52K]

ransac.py [7.66K]

视频 [1.24G]

【7.1】opencv&最小二乘法.mp4 [223.66M]

【7.2】ransac.mp4 [477.47M]

【7.3】哈希算法.mp4 [197.44M]

【7.4】神经网络.mp4 [369.10M]