Food-Recipe-CNN：使用深度卷积神经网络将食物图像转化为食谱
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2021-02-03
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Food-Recipe-CNN-master.zip （78个子文件） 
Food-Recipe-CNN-master .ipynb_checkpoints 
06_05_neural_network_feature_extraction_VGG16_experimental-checkpoint.ipynb 4.05MB 06_04_neural_network_feature_extraction_VGG16-checkpoint.ipynb 2.91MB 06_02_neural_network_inceptionV3-checkpoint.ipynb 3.92MB 06_03_neural_network_inceptionV3_train_last_layers-checkpoint.ipynb 3.88MB python-files 03_02_zutaten_analysis_cloud.py 5KB matches.py 4KB 06_01_neural_network_fit_data_into_mem.py 6KB 02_rezepte_details.py 14KB 06_02_neural_network_inceptionV3.py 15KB pca_features.py 7KB models_evaluation.py 10KB predict_mymodel.py 11KB 04_02_topic_modeling_tsne_cloud.py 5KB 06_04_neural_network_feature_extraction_VGG16.py 17KB Merge_to_classify.py 2KB evaluate_one_model.py 10KB 07_recurrent_neural_network.py 5KB 03_01_rezepte_analysis_cloud.py 7KB 04_01_topic_modeling.py 31KB 06_05_neural_network_feature_extraction_VGG16_experimental.py 12KB 01_rezepte_download.py 10KB 06_03_neural_network_inceptionV3_train_last_layers.py 13KB 05_tSNE.py 7KB 06_04_neural_network_feature_extraction_VGG16.ipynb 2.91MB 04_01_topic_modeling.ipynb 4MB 04_02_topic_modeling_tsne_cloud.ipynb 1.81MB output 
deepchef_demo_v4.gif 12.29MB meta 
classes_230.txt 2KB categories_300.txt 3KB labels_230.txt 2KB categories_230_sorted.txt 2KB tsne 
20000-tSNE-grid-recipes.jpg 15.11MB
tsne_50000_3_years.pdf 772KB
20000-pics-cloud.png 68.67MB bokeh_plot.png 932KB
NEW_20_recipe_names_final_tsne_2_lda_viz_316755_40_0_500_316755_4.html 13.51MB csv_files chefkoch_rezepte_27-12-2017.csv 61.21MB chefkoch_rezepte_analysis_cleannames.csv 25.53MB chefkoch_rezepte_analysis_with_category.csv 28.09MB pic_list_27-12-2017.csv 87.23MB chefkoch_rezepte_analysis.csv 26.89MB 06_05_neural_network_feature_extraction_VGG16_experimental.ipynb 4.05MB 03_01_rezepte_analysis_cloud.ipynb 539KB 05_tSNE.ipynb 21.33MB 06_03_neural_network_inceptionV3_train_last_layers.ipynb 3.88MB 06_02_neural_network_inceptionV3.ipynb 3.92MB other .ipynb_checkpoints matches-checkpoint.ipynb 26KB models_evaluation-checkpoint.ipynb 54KB evaluate_one_model-checkpoint.ipynb 3.8MB Merge_to_classify.ipynb 35KB evaluate_one_model.ipynb 3.8MB matches.ipynb 26KB models_evaluation.ipynb 54KB pca_features.ipynb 17KB predict_mymodel.ipynb 712KB README.md 5KB 01_rezepte_download.ipynb 33KB deploy log_food.py 2KB template.html 73B app.py 3KB requirements.txt 2KB utils_food.py 3KB meta log_food_template.json 23B log_food.json 3KB core_algo_tests.ipynb 1.37MB nmslib_tests.ipynb 8KB chefkoch_parser.py 6KB templates index.html 3KB 404.html 1KB predict_food.py 6KB static favicon.ico 6KB js main.js 2KB css 404.css 4KB main.css 5KB 07_recurrent_neural_network.ipynb 45KB 06_01_neural_network_fit_data_into_mem.ipynb 2.63MB 02_rezepte_details.ipynb 1.07MB 03_02_zutaten_analysis_cloud.ipynb 61KB
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