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使用 TensorFlow 端到端开源机器学习平台 进行从零到精通的深度学习
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mrdbourke
02-24 14:09
#0
什么是 TensorFlow?
TensorFlow 是一个开源的端到端机器学习库,用于预处理数据、建模数据和服务模型(将模型交到他人手中)。
为什么使用 TensorFlow?
与其从头开始构建机器学习和深度学习模型,不如使用 TensorFlow 等库。这是因为它包含许多您想要使用的最常见的机器学习函数。
.github
00_tensorflow_fundamentals.ipynb
01_neural_network_regression_in_tensorflow.ipynb
02_neural_network_classification_in_tensorflow.ipynb
03_convolutional_neural_networks_in_tensorflow.ipynb
04_transfer_learning_in_tensorflow_part_1_feature_extraction.ipynb
05_transfer_learning_in_tensorflow_part_2_fine_tuning.ipynb
06_transfer_learning_in_tensorflow_part_3_scaling_up.ipynb
07_food_vision_milestone_project_1.ipynb
08_introduction_to_nlp_in_tensorflow.ipynb
09_SkimLit_nlp_milestone_project_2.ipynb
10_time_series_forecasting_in_tensorflow.ipynb
11_passing_the_tensorflow_developer_certification_exam.md
README.md
docs
13个子项
00_tensorflow_fundamentals.ipynb
01_neural_network_regression_in_tensorflow.ipynb
02_neural_network_classification_in_tensorflow.ipynb
03_convolutional_neural_networks_in_tensorflow.ipynb
04_transfer_learning_in_tensorflow_part_1_feature_extraction.ipynb
05_transfer_learning_in_tensorflow_part_2_fine_tuning.ipynb
06_transfer_learning_in_tensorflow_part_3_scaling_up.ipynb
07_food_vision_milestone_project_1.ipynb
08_introduction_to_nlp_in_tensorflow.ipynb
09_SkimLit_nlp_milestone_project_2.ipynb
10_time_series_forecasting_in_tensorflow.ipynb
assets
index.md
extras
8个子项
TEMPLATE_07_food_vision_milestone_project_1.ipynb
image_data_modification.ipynb
interactive_notebooks
1个子项
01_neural_network_regression_in_tensorflow_interactive.ipynb
solutions
10个子项
🛠_00_TensorFlow_Fundamentals_🛠_Exercises_&_📖_Extra_curriculum.ipynb
🛠_01_Neural_network_regression_in_Tensorflow.ipynb
🛠_02_neural_network_classification_in_tensorflow.ipynb
🛠_03_Computer_vision_&_convolutional_neural_networks_in_TensorFlow_Exercise_Solution.ipynb
🛠_04_Transfer_Learning_with_TensorFlow_Part_1_Feature_Extraction_Exercise_Solutions.ipynb
🛠_05_Transfer_Learning_in_TensorFlow_Part_2_Fine_tuning_Exercise_solutions.ipynb
🛠_06_Transfer_Learning_in_TensorFlow_Part_3_Scaling_up_Exercise_Solutions.ipynb
🛠_08_Introduction_to_NLP_(Natural_Language_Processing)_in_TensorFlow_Exercise_Solution.ipynb
🛠_09_Milestone_Project_2_SkimLit_📄🔥_Exercise_Solutions.ipynb
🛠_10_Time_series_fundamentals_and_Milestone_Project_3_BitPredict_💰📈_Exercise_Solutions.ipynb
images
slides
12个子项
00_introduction_to_tensorflow_and_deep_learning.pdf
01_neural_network_regression_with_tensorflow.pdf
02_neural_network_classification_with_tensorflow.pdf
03_convolution_neural_networks_and_computer_vision_with_tensorflow.pdf
04_transfer_learning_with_tensorflow_part_1_feature_extraction.pdf
05_transfer_learning_with_tensorflow_part_2_fine_tuning.pdf
06_transfer_learning_with_tensorflow_part_3_scaling_up.pdf
07_milestone_project_1_food_vision.pdf
08_natural_language_processing_in_tensorflow.pdf
09_milestone_project_2_skimlit.pdf
10_time_series_fundamentals_and_milestone_project_3_bitpredict.pdf
11_passing_the_tensorflow_developer_certification_exam.pdf
video_notebooks
12个子项
00_tensorflow_fundamentals_video.ipynb
01_neural_network_regression_in_tensorflow_video.ipynb
02_neural_network_classification_in_tensorflow_video.ipynb
03_convolutional_neural_networks_with_tensorflow_video.ipynb
04_transfer_learning_in_tensorflow_part_1_feature_extraction_video.ipynb
05_transfer_learning_in_tensorflow_part_2_fine_tuning_video.ipynb
06_transfer_learning_in_tensorflow_part_3_scaling_up_video.ipynb
07_milestone_project_1_food_vision_video.ipynb
08_introduction_to_nlp_in_tensorflow_video.ipynb
09_SkimLit_nlp_milestone_project_2_video.ipynb
10_time_series_forecasting_with_tensorflow_video.ipynb
README.md
mrdbourke/tensorflow-deep-learning
使用 TensorFlow 端到端开源机器学习平台 进行从零到精通的深度学习
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