文件名称：深度学习：人工智能长期短期记忆（LSTM）卷积神经网络（CNN）递归神经网络（RNN）Resnet50残留网络
文件大小：22.35MB
文件格式：ZIP
更新时间：2024-03-18 00:34:58
deep-neural-networks deep-learning lstm convolutional-neural-networks cnn-keras
深度学习 该文件夹包含我的各种AI和机器学习项目的深度学习模型。 长短期记忆（LSTM）卷积神经网络（CNN）ResNet50
【文件预览】：
DeepLearning-master
----text_classification_dataset.csv(1.2MB)
----notes.txt(470B)
----eval_results.txt(422B)
----Image Classification()
--------imageWork.py(534B)
--------CNN_making_predictions.py(2KB)
--------VGG16_image_recognition_pretrained.py(1KB)
--------Image Classification_jupy.py(1KB)
--------imageClassification.py(647B)
--------CNN_neural_network_training complete.py(1KB)
--------IMGMetaData.py(330B)
--------CNN_training_and_saving_weights complete.py(2KB)
--------Image_data_generator.ipynb(4KB)
--------imageClassificationTest_sy.py(2KB)
----other()
--------logloss.py(1KB)
--------classentropy.py(1KB)
----SVM()
--------AIBugSVM.py(4KB)
----text_classification_dataset2.csv.zip(9.6MB)
----RNN()
--------spacy_NLP.py(2KB)
--------RNN_NLP.ipynb(71KB)
--------RNN_NLP2.ipynb(59KB)
--------recurrent_neural_networksNLP.py(5KB)
----LSTM()
--------LSTM Models(1B)
--------LSTM_Text_Prediction.py(6KB)
--------LSTMExample.py(1KB)
--------05_05.ipynb(59KB)
----README.md(185B)
----text_classification.csv.zip(11.59MB)
----directoryWalk.py(5KB)
----classificationResults.pdf(154KB)
----xlnet-base-cased-spiece.model(779KB)
----CNN()
--------vgg16.py(1KB)
--------CNN_complete.py(2KB)
--------Image Augmentation End.ipynb(4KB)
--------cnnWork.py(6KB)
--------Image Augmentation Start.ipynb(4KB)
----config.json(663B)
----ResNet()
--------resnet50_sy.py(13KB)
--------resnet50_imageClassification.py(6KB)
--------vgg16_sy.py(9KB)
--------resnet50_imageClassification_multiClass.py(7KB)
--------resnet50_imageClassification_twoClass.py(7KB)
----tensorflowWork_GPU.py(905B)
----XLNet()
--------xlnet-base-cased-config.json(641B)
--------xlnetClassification.py(12KB)