Py:从零开始到高级编写python的讲座 （447个子文件） 
style.css 2KB iot_data_200731.csv 16.01MB test_df_munged.csv 3.86MB train_df_munged.csv 3.86MB digits100.csv 181KB iot.csv 36KB label_df.csv 28KB diabetes_data.csv 25KB diabetes.csv 23KB ThoraricSurgery.csv 21KB hourly_wages_data.csv 13KB ram_price.csv 6KB iris.csv 4KB digits100_target.csv 503B data-01-test-score.csv 325B cifar10_c2f3_best_weights.015-0.7077.hdf5 6.37MB cifar10_c2f2_best_weights.010-0.7100.hdf5 6.28MB fmnist_c2f2_best_weights.016-0.9256.hdf5 4.87MB cnn_best.hdf5 4.87MB fcn3_best.hdf5 2.73MB Charts_in_Colaboratory.ipynb 2.33MB bear_classifier.ipynb 1.86MB Resnet_test01.ipynb 1.44MB har_keras_cnn1d.ipynb 1.16MB Widgets.ipynb 918KB d1CNN_HAR_widom.ipynb 911KB 02_supervised_learning_3_ANN_MLP.ipynb 770KB iot_json.ipynb 732KB cifar10_final_Best_Batch_Normalization2.ipynb 620KB cifar10_final_Best_Batch_Normalization.ipynb 620KB MNIST_Visual_activations.ipynb 485KB wk11_ML_basic_start.ipynb 476KB py_modules_4_keras_tf2_cv_datasets_A.ipynb 442KB tf2_10_cifar10_TL_resnet101.ipynb 395KB iot_csv.ipynb 361KB keras_regression_house_prices.ipynb 361KB tf2_9_cifar10_TL_resnet50.ipynb 356KB Hello_Colaboratory.ipynb 305KB py_module_2_matplotlib.ipynb 289KB tf2_11_diabetes_FCN_final.ipynb 284KB tf2_9_an_intro_TL.ipynb 271KB wk10_py_data_science_II_start.ipynb 264KB diabetes_FCN_final.ipynb 261KB tf2_8_cifar10_CNN_best.ipynb 254KB Youtube_py_basic_for_ML_DL.ipynb 229KB matplotlib_1_intro_A.ipynb 226KB Summary_graphics.ipynb 218KB tf2_11_diabetes_FCN_A.ipynb 217KB cifar10_final_Best_Data_Augmentation.ipynb 205KB keras_regression_tutorial.ipynb 204KB tf2_7_fmnist_CNN_best.ipynb 196KB tf2_11_diabetes_FCN.ipynb 193KB wk03_list_loop_condition.ipynb 169KB matplotlib_2_style_subplots_A.ipynb 149KB Keras_mnist_analysis_3_DL.ipynb 138KB wk12_ML_LR_start.ipynb 130KB Keras_mnist_analysis_2_NN.ipynb 126KB DL4_FeedForward.ipynb 103KB wk01_hello_ipynb_3.ipynb 103KB matplotlib_4_challenges_A.ipynb 93KB wk05_file.ipynb 93KB Summary_mnist_data_colab.ipynb 93KB keras_classification_tutorial.ipynb 92KB wk05_file_start.ipynb 85KB wk09_py_data_science_start.ipynb 82KB wk04_tuple_dictionary.ipynb 78KB Youtube_py_basic.ipynb 76KB wk04_tuple_dictionary_start.ipynb 74KB Overview_of_Colaboratory_Features.ipynb 70KB ch6_real_code.ipynb 63KB py_exam_final_2018_Ans.ipynb 60KB wk07_class_oop_start.ipynb 58KB ch2_code01_py00.ipynb 56KB py_module_1_numpy.ipynb 53KB DL6_BackwardPropagation.ipynb 50KB DL1_Neuron.ipynb 47KB Keras_mnist_analysis_1_ML.ipynb 45KB ch5_code02.ipynb 41KB tf2_4_mnist_FCN_test_ALL.ipynb 41KB Summary_numpy.ipynb 41KB first_steps_with_tensor_flow.ipynb 36KB wk06_function_start.ipynb 36KB py_modules_5_keras_mnist_3_DL.ipynb 35KB wk03_list_loop_condition_start.ipynb 34KB py_module_3_pandas.ipynb 33KB ch2_exercises_ans.ipynb 32KB ch2_exercises_ans.ipynb 32KB External_data_Drive_Sheets_and_Cloud_Storage.ipynb 31KB matplotlib_0_why_use_it_A.ipynb 31KB ch5_exercises_ans.ipynb 30KB pandas_6_iot_nano33_0.ipynb 29KB py_modules_5_keras_mnist_2_NN.ipynb 27KB ch5_code01.ipynb 26KB tf2_3_mnist_NN_good.ipynb 25KB ch06_exercises_ans.ipynb 25KB tf2_3_mnist_NN_best.ipynb 25KB tf2_3_mnist_NN.ipynb 25KB numpy_1_intro.ipynb 25KB ch8_exercises.ipynb 24KB ch8_exercises.ipynb 24KB共 447 条
- 1
- 2
- 3
- 4
- 5
资源评论
Hsmiau
- 粉丝: 984
- 资源: 4653
最新资源
- COMSOL光学仿真：光镊与光力模型专题解析（三个模型详解、近似算法与张量算法探讨）,COMSOL光学仿真：光镊与光力模型专题详解（涵盖三大模型、近似算法与张量算法应用）,COMSOL光学仿真:光镊
- 基于C++语言的图书馆管理系统设计源码
- BootstrapBlazor-C#资源
- Ingenious 工作流引擎-PHP资源
- 基于Matlab Simulink的光伏储能虚拟同步发电机三相全桥逆变仿真研究,基于Matlab Simulink的光伏储能虚拟同步发电机三相全桥逆变仿真研究,光伏储能同步发电机simulink仿真模
- Javascript-JavaScript资源
- CNote-计算机二级资源
- 基于COMSOL FDTD的微纳光学与电磁仿真探究光子晶体中的BIC拓扑单向传输及色散材料能带求解,COMSOL FDTD微纳光学与电磁仿真：BIC拓扑单向传输及光子晶体能带求解,COMSOL FDT
- 毕业设计-宿舍管理系统SpringBoot-毕业设计资源
- 基于OpenCV模板匹配和PySide6的数字识别-电赛资源
- 基于Java、HTML、Vue、JavaScript、CSS的智慧车辆项目设计源码
- STM32平台上的FX2N源码移植及其使用手册：实现与三菱PLC通信的完整指南,STM32平台上的FX2N源码移植及其使用手册：实现与三菱PLC通信功能的全面指南,STM32版FX2N源码&原理图&P
- IR2-Net-ACM资源
- 基于Vue框架的人脸考勤系统设计源码
- 西门子S7-200SMART PLC与MCGS7.7触摸屏组合控制伺服电机位置模式：接线指南、参数设置与运行效果展示视频,西门子S7-200SMART PLC与MCGS7.7触摸屏组合控制伺服电机位置
- 基于Vue的zzyl前端Vue, TypeScript, JavaScript, CSS, HTML设计源码
资源上传下载、课程学习等过程中有任何疑问或建议，欢迎提出宝贵意见哦~我们会及时处理！
点击此处反馈
