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• file:18.LDA：文本数据大杀器，揭示文本背后的秘密.mp4
• file:40.常见面试题解读01.mp4
• file:45.BP算法原理和训练方法.mp4
• file:20.编程工具keras讲解和深度学习为什么会有效.mp4
• file:10.朴素贝叶斯模型：简单背后蕴含的有效.mp4
• file:8.让模型看的更准更稳，正则优化.mp4
• file:28.项目二：以图搜图技术详解实战01.mp4
• file:2.线性回归1 第一个模型用来进行数值预测.mp4
• file:38.项目四：CNN识别彩色图像，就那么一会.mp4
• file:19.深度学习DNN01-深度学习开启人工智能新时代.mp4
• file:26.梯度下降法的优化和一些先进的学习技术.mp4
• file:逻辑回归.pptx
• file:logistic_regression.zip
• file:kmeans.zip
• file:word2vec.pptx
• file:Real-time Personalization using Embeddings for Search Ranking at Airbnb.pdf
• file:even_odd.py
• file:cifar10_images_py.zip
• file:深度学习DNN2.pptx
• file:LDA数学八卦.pdf
• file:news.csv
• file:forward_index
• file:integrated.zip
• file:从逻辑回归到rnn 再到lstm.pdf
• file:cifar-10数据集.rar
• file:image_classifer_cnn.zip
• file:win64_11gR2_database_1of2.zip
• file:text_classifer_fasttext.zip
• file:svm.zip
• file:train_xrepeat.py
• file:train_curve.csv
• file:get_paracurve_data.py
• file:test_data
• file:analy_mse_entropy.py