Google老师亲授TensorFlow2.0入门到进阶（教学视频、笔记）

[{"title":"（ 53 个子文件 905.54MB ） Google老师亲授TensorFlow2.0入门到进阶（教学视频、笔记）","children":[{"title":"Google老师亲授TensorFlow2.0入门到进阶","children":[{"title":"第8章 Tensorflow分布式","children":[{"title":"8-1_课程引入与GPU设置.mp4 <span style='color:#111;'> 6.26MB </span>","children":null,"spread":false},{"title":"8-3_内存增长和虚拟设备实战.mp4 <span style='color:#111;'> 26.03MB </span>","children":null,"spread":false},{"title":"8-2_GPU默认设置.mp4 <span style='color:#111;'> 16.90MB </span>","children":null,"spread":false},{"title":"8-4_GPU手动设置实战.mp4 <span style='color:#111;'> 20.35MB </span>","children":null,"spread":false},{"title":"8-5_分布式策略.mp4 <span style='color:#111;'> 13.27MB </span>","children":null,"spread":false}],"spread":true},{"title":"资料","children":[{"title":"tensorflow2.0_course-master.zip <span style='color:#111;'> 482.88KB </span>","children":null,"spread":false},{"title":"tensorflow2.0_course-master.tar.gz <span style='color:#111;'> 467.31KB </span>","children":null,"spread":false}],"spread":true},{"title":"第3章 Tensorflow基础API使用","children":[{"title":"3-1_tf基础API引入.mp4 <span style='color:#111;'> 5.56MB </span>","children":null,"spread":false},{"title":"3-2_实战tf.constant.mp4 <span style='color:#111;'> 9.56MB </span>","children":null,"spread":false},{"title":"3-5_实战自定义损失函数与DenseLayer回顾.mp4 <span style='color:#111;'> 22.36MB </span>","children":null,"spread":false},{"title":"3-3_实战tf.strings与ragged_tensor.mp4 <span style='color:#111;'> 11.11MB </span>","children":null,"spread":false},{"title":"3-4_实战sparse_tensor与tf.Variable.mp4 <span style='color:#111;'> 17.10MB </span>","children":null,"spread":false}],"spread":true},{"title":"第4章 Tensorflow dataset使用","children":[{"title":"4-2_tf_data基础API使用.mp4 <span style='color:#111;'> 23.29MB </span>","children":null,"spread":false},{"title":"4-1_data_API引入.mp4 <span style='color:#111;'> 4.05MB </span>","children":null,"spread":false},{"title":"4-3_生成csv文件.mp4 <span style='color:#111;'> 27.29MB </span>","children":null,"spread":false},{"title":"4-4_tf.io.decode_csv使用.mp4 <span style='color:#111;'> 29.17MB </span>","children":null,"spread":false}],"spread":true},{"title":"第5章 Tensorflow Estimator使用与tf1.0","children":[{"title":"5-4_keras_to_estimator.mp4 <span style='color:#111;'> 18.83MB </span>","children":null,"spread":false},{"title":"5-6_交叉特征实战.mp4 <span style='color:#111;'> 22.48MB </span>","children":null,"spread":false},{"title":"5-3_feature_column使用.mp4 <span style='color:#111;'> 19.44MB </span>","children":null,"spread":false},{"title":"5-2_泰坦尼克问题引入分析.mp4 <span style='color:#111;'> 19.08MB </span>","children":null,"spread":false},{"title":"5-5_预定义estimator使用.mp4 <span style='color:#111;'> 26.30MB </span>","children":null,"spread":false},{"title":"5-1_课程引入.mp4 <span style='color:#111;'> 3.04MB </span>","children":null,"spread":false}],"spread":true},{"title":"第6章 卷积神经网络","children":[{"title":"6-4_池化操作.mp4 <span style='color:#111;'> 3.83MB </span>","children":null,"spread":false},{"title":"6-5_卷积神经网络实战.mp4 <span style='color:#111;'> 26.75MB </span>","children":null,"spread":false},{"title":"6-2_卷积解决的问题.mp4 <span style='color:#111;'> 10.00MB </span>","children":null,"spread":false},{"title":"6-3_卷积的计算.mp4 <span style='color:#111;'> 9.72MB </span>","children":null,"spread":false},{"title":"6-1_卷积神经网络引入与总体结构.mp4 <span style='color:#111;'> 8.05MB </span>","children":null,"spread":false}],"spread":true},{"title":"第9章 Tensorflow模型保存与部署","children":[{"title":"9-3_Keras模型转化为SavedModel.mp4 <span style='color:#111;'> 23.79MB </span>","children":null,"spread":false},{"title":"9-2_保存模型结构加参数与保存参数实战.mp4 <span style='color:#111;'> 20.65MB </span>","children":null,"spread":false},{"title":"9-1_课程引入与TFLite.mp4 <span style='color:#111;'> 12.15MB </span>","children":null,"spread":false},{"title":"9-4_签名函数转化为SavedModel.mp4 <span style='color:#111;'> 12.76MB </span>","children":null,"spread":false},{"title":"9-5_签名函数，SavedModel和Keras模型到具体函数转换.mp4 <span style='color:#111;'> 11.19MB </span>","children":null,"spread":false}],"spread":true},{"title":"第1章 Tensorflow简介与环境搭建","children":[{"title":"1-2_Tensorflow是什么.mp4 <span style='color:#111;'> 10.81MB </span>","children":null,"spread":false},{"title":"1-6_Tensorflow环境配置.mp4 <span style='color:#111;'> 4.90MB </span>","children":null,"spread":false},{"title":"1-5_Tensorflow&pytorch比较.mp4 <span style='color:#111;'> 23.53MB </span>","children":null,"spread":false},{"title":"1-7_Google_cloud无GPU环境搭建.mp4 <span style='color:#111;'> 32.44MB </span>","children":null,"spread":false},{"title":"1-11_AWS云平台环境配置.mp4 <span style='color:#111;'> 29.75MB </span>","children":null,"spread":false},{"title":"1-9_Google_cloud_gpu_tensorflow配置.mp4 <span style='color:#111;'> 51.19MB </span>","children":null,"spread":false},{"title":"1-10_Google_cloud_gpu_tensorflow镜像配置__(.mp4 <span style='color:#111;'> 40.71MB </span>","children":null,"spread":false},{"title":"1-1_课程导学.mp4 <span style='color:#111;'> 17.83MB </span>","children":null,"spread":false},{"title":"1-4_Tensorflow2.0架构.mp4 <span style='color:#111;'> 10.04MB </span>","children":null,"spread":false},{"title":"1-8_Google_cloud_远程jupyter_notebook配置.mp4 <span style='color:#111;'> 41.50MB </span>","children":null,"spread":false},{"title":"1-3_Tensorflow版本变迁与tf1.0架构.mp4 <span style='color:#111;'> 9.24MB </span>","children":null,"spread":false},{"title":"1-6_Tensorflow环境配置(新补).mp4 <span style='color:#111;'> 4.90MB </span>","children":null,"spread":false}],"spread":false},{"title":"第2章 Tensorflow keras实战","children":[{"title":"2-4_实战分类模型之模型构建.mp4 <span style='color:#111;'> 34.13MB </span>","children":null,"spread":false},{"title":"2-3_实战分类模型之数据读取与展示.mp4 <span style='color:#111;'> 15.99MB </span>","children":null,"spread":false},{"title":"2-2_分类回归与目标函数.mp4 <span style='color:#111;'> 9.22MB </span>","children":null,"spread":false},{"title":"2-1_tfkeras简介__(.mp4 <span style='color:#111;'> 10.48MB </span>","children":null,"spread":false}],"spread":true},{"title":"第7章 循环神经网络","children":[{"title":"7-1_循环神经网络引入与embedding.mp4 <span style='color:#111;'> 8.48MB </span>","children":null,"spread":false},{"title":"7-5_循环神经网络实战文本分类.mp4 <span style='color:#111;'> 35.24MB </span>","children":null,"spread":false},{"title":"7-4_序列式问题与循环神经网络.mp4 <span style='color:#111;'> 13.31MB </span>","children":null,"spread":false},{"title":"7-3_数据padding、模型构建与训练.mp4 <span style='color:#111;'> 23.55MB </span>","children":null,"spread":false},{"title":"7-2_数据集载入与构建词表索引.mp4 <span style='color:#111;'> 19.25MB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}]