[ DevCourseWeb.com ] Udemy - Data Science - CNN and OpenCV - Chest XRAY-Pneumonia Detection

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[ DevCourseWeb.com ] Udemy - Data Science - CNN and OpenCV - Chest XRAY-Pneumonia Detection

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种子哈希：088a40043f01282ebd6256ce50aa8218b35c44f5
文件大小： 1.07G
已经下载：307次
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收录时间：2024-01-25
最近下载：2025-09-10

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  • ~Get Your Files Here !/12. Project Files and Code/code/output/CM_16_weights-018-0.1818.hdf5 93.8 MB
  • ~Get Your Files Here !/2. Data Understanding & Importing Libraries/3. Setting up the project in Google Colab_Part2.mp4 84.5 MB
  • ~Get Your Files Here !/6. Model Building/9. Building a custom CNN network architecture.mp4 79.8 MB
  • ~Get Your Files Here !/2. Data Understanding & Importing Libraries/4. About Config and Create_Dataset File.mp4 75.9 MB
  • ~Get Your Files Here !/2. Data Understanding & Importing Libraries/6. Plotting the count of data against each class in each directory.mp4 53.5 MB
  • ~Get Your Files Here !/2. Data Understanding & Importing Libraries/7. Plotting some samples from both the classes.mp4 49.1 MB
  • ~Get Your Files Here !/9. Fitting the Model/2. MobileNetV2 and Custom CNN Model Fitting.mp4 44.7 MB
  • ~Get Your Files Here !/11. Using trained model to predict whether a person has Pneumonia/2. Loading an image and predicting using the model whether the person has Pneumonia.mp4 42.1 MB
  • ~Get Your Files Here !/10. Model Evaluation/4. Computing the confusion matrix and using the same to derive the accuracy, sensit.mp4 40.2 MB
  • ~Get Your Files Here !/2. Data Understanding & Importing Libraries/5. Importing the Libraries.mp4 39.0 MB
  • ~Get Your Files Here !/3. Common Methods for plotting and class weight calculation/3. Calculating the class weights in train directory.mp4 37.0 MB
  • ~Get Your Files Here !/6. Model Building/8. Understanding Conv2D, Filters, Relu activation, Batch Normalization, MaxPooling2.mp4 28.1 MB
  • ~Get Your Files Here !/3. Common Methods for plotting and class weight calculation/2. Defining a method to plot training and validation accuracy and loss.mp4 27.1 MB
  • ~Get Your Files Here !/4. Data Augmentation/2. Implementing Data Augmentation techniques.mp4 25.8 MB
  • ~Get Your Files Here !/5. Data Generators/2. Implementing Data Generators.mp4 24.5 MB
  • ~Get Your Files Here !/10. Model Evaluation/1. Predicting on the test data using both MobileNetV2 and Custom CNN Model.mp4 23.4 MB
  • ~Get Your Files Here !/8. ModelCheckpoint/2. Implementing Model Checkpoint.mp4 23.0 MB
  • ~Get Your Files Here !/6. Model Building/6. Building a new fully-connected (FC) head.mp4 21.3 MB
  • ~Get Your Files Here !/11. Using trained model to predict whether a person has Pneumonia/1. Loading the final model from drive.mp4 20.8 MB
  • ~Get Your Files Here !/6. Model Building/2. About OpenCV.mp4 18.8 MB
  • ~Get Your Files Here !/4. Data Augmentation/1. About Data Augmentation.mp4 17.9 MB
  • ~Get Your Files Here !/2. Data Understanding & Importing Libraries/1. Understanding the dataset and the folder structure.mp4 17.8 MB
  • ~Get Your Files Here !/7. Compiling the Model/1. Role of Optimizer in Deep Learning.mp4 17.3 MB
  • ~Get Your Files Here !/6. Model Building/5. Loading the MobileNetV2 classifier.mp4 17.2 MB
  • ~Get Your Files Here !/1. Introduction and Getting Started/3. Understanding the project folder structure.mp4 16.2 MB
  • ~Get Your Files Here !/1. Introduction and Getting Started/2. Introduction to Google Colab.mp4 15.9 MB
  • ~Get Your Files Here !/10. Model Evaluation/5. Plot training and validation accuracy and loss.mp4 15.7 MB
  • ~Get Your Files Here !/10. Model Evaluation/3. Classification Report in action for both MobileNetV2 and Custom CNN Model.mp4 15.2 MB
  • ~Get Your Files Here !/5. Data Generators/1. About Data Generators.mp4 15.2 MB
  • ~Get Your Files Here !/7. Compiling the Model/5. Putting all together for Custom CNN Model.mp4 12.9 MB
  • ~Get Your Files Here !/6. Model Building/1. About Convolutional Neural Network (CNN).mp4 12.6 MB
  • ~Get Your Files Here !/7. Compiling the Model/3. About binary cross entropy loss function..mp4 11.7 MB
  • ~Get Your Files Here !/12. Project Files and Code/code/output/MN_16_weights-016-0.2087.hdf5 11.5 MB
  • ~Get Your Files Here !/7. Compiling the Model/4. Putting all together for MobileNetV2.mp4 11.4 MB
  • ~Get Your Files Here !/6. Model Building/3. Understanding pre-trained models.mp4 10.5 MB
  • ~Get Your Files Here !/6. Model Building/7. Building the final MobileNetV2 model.mp4 9.3 MB
  • ~Get Your Files Here !/3. Common Methods for plotting and class weight calculation/1. Creating a common method to get the number of files from a directory.mp4 8.9 MB
  • ~Get Your Files Here !/6. Model Building/4. About MobileNetV2 model.mp4 8.0 MB
  • ~Get Your Files Here !/10. Model Evaluation/6. SerializeWriting the model to disk.mp4 7.4 MB
  • ~Get Your Files Here !/10. Model Evaluation/2. About Classification Report.mp4 7.3 MB
  • ~Get Your Files Here !/2. Data Understanding & Importing Libraries/2. Setting up the project in Google Colab_Part1.mp4 6.4 MB
  • ~Get Your Files Here !/8. ModelCheckpoint/1. About Model Checkpoint.mp4 6.2 MB
  • ~Get Your Files Here !/1. Introduction and Getting Started/1. Project Overview.mp4 6.0 MB
  • ~Get Your Files Here !/9. Fitting the Model/1. About Epoch and Batch Size.mp4 5.6 MB
  • ~Get Your Files Here !/7. Compiling the Model/2. About Adam Optimizer.mp4 5.2 MB
  • ~Get Your Files Here !/12. Project Files and Code/code/train_MobileNet_16_modelCheckpoint_reshuffle_data (1).ipynb 913.1 kB
  • ~Get Your Files Here !/12. Project Files and Code/code/train_CustomModel_16_conv_modelCheckpoint_reshuffle_data.ipynb 878.4 kB
  • ~Get Your Files Here !/12. Project Files and Code/code/Detect_Pneumonia.ipynb 714.3 kB
  • ~Get Your Files Here !/12. Project Files and Code/code/sampleTest_Pictures/Normal.jpeg 252.7 kB
  • ~Get Your Files Here !/12. Project Files and Code/code/sampleTest_Pictures/Pneumonia.jpeg 77.4 kB
  • ~Get Your Files Here !/12. Project Files and Code/code/output/MN_16_TrainingHistoryPlot.png 25.2 kB
  • ~Get Your Files Here !/2. Data Understanding & Importing Libraries/3. Setting up the project in Google Colab_Part2.srt 16.3 kB
  • ~Get Your Files Here !/2. Data Understanding & Importing Libraries/4. About Config and Create_Dataset File.srt 14.6 kB
  • ~Get Your Files Here !/6. Model Building/9. Building a custom CNN network architecture.srt 13.6 kB
  • ~Get Your Files Here !/2. Data Understanding & Importing Libraries/6. Plotting the count of data against each class in each directory.srt 10.5 kB
  • ~Get Your Files Here !/2. Data Understanding & Importing Libraries/7. Plotting some samples from both the classes.srt 8.0 kB
  • ~Get Your Files Here !/10. Model Evaluation/4. Computing the confusion matrix and using the same to derive the accuracy, sensit.srt 7.8 kB
  • ~Get Your Files Here !/11. Using trained model to predict whether a person has Pneumonia/2. Loading an image and predicting using the model whether the person has Pneumonia.srt 6.5 kB
  • ~Get Your Files Here !/3. Common Methods for plotting and class weight calculation/3. Calculating the class weights in train directory.srt 6.5 kB
  • ~Get Your Files Here !/2. Data Understanding & Importing Libraries/5. Importing the Libraries.srt 6.2 kB
  • ~Get Your Files Here !/9. Fitting the Model/2. MobileNetV2 and Custom CNN Model Fitting.srt 6.2 kB
  • ~Get Your Files Here !/2. Data Understanding & Importing Libraries/1. Understanding the dataset and the folder structure.srt 5.7 kB
  • ~Get Your Files Here !/1. Introduction and Getting Started/3. Understanding the project folder structure.srt 5.0 kB
  • ~Get Your Files Here !/3. Common Methods for plotting and class weight calculation/2. Defining a method to plot training and validation accuracy and loss.srt 4.8 kB
  • ~Get Your Files Here !/10. Model Evaluation/1. Predicting on the test data using both MobileNetV2 and Custom CNN Model.srt 4.6 kB
  • ~Get Your Files Here !/5. Data Generators/2. Implementing Data Generators.srt 4.4 kB
  • ~Get Your Files Here !/4. Data Augmentation/2. Implementing Data Augmentation techniques.srt 4.4 kB
  • ~Get Your Files Here !/8. ModelCheckpoint/2. Implementing Model Checkpoint.srt 4.1 kB
  • ~Get Your Files Here !/6. Model Building/8. Understanding Conv2D, Filters, Relu activation, Batch Normalization, MaxPooling2.srt 3.8 kB
  • ~Get Your Files Here !/11. Using trained model to predict whether a person has Pneumonia/1. Loading the final model from drive.srt 3.7 kB
  • ~Get Your Files Here !/1. Introduction and Getting Started/2. Introduction to Google Colab.srt 3.6 kB
  • ~Get Your Files Here !/4. Data Augmentation/1. About Data Augmentation.srt 3.4 kB
  • ~Get Your Files Here !/5. Data Generators/1. About Data Generators.srt 3.3 kB
  • ~Get Your Files Here !/7. Compiling the Model/1. Role of Optimizer in Deep Learning.srt 3.3 kB
  • ~Get Your Files Here !/10. Model Evaluation/5. Plot training and validation accuracy and loss.srt 3.0 kB
  • ~Get Your Files Here !/6. Model Building/6. Building a new fully-connected (FC) head.srt 2.9 kB
  • ~Get Your Files Here !/6. Model Building/2. About OpenCV.srt 2.9 kB
  • ~Get Your Files Here !/10. Model Evaluation/3. Classification Report in action for both MobileNetV2 and Custom CNN Model.srt 2.8 kB
  • ~Get Your Files Here !/12. Project Files and Code/code/utils/conv_bc_model.py 2.7 kB
  • ~Get Your Files Here !/6. Model Building/1. About Convolutional Neural Network (CNN).srt 2.5 kB
  • ~Get Your Files Here !/7. Compiling the Model/3. About binary cross entropy loss function..srt 2.4 kB
  • ~Get Your Files Here !/7. Compiling the Model/5. Putting all together for Custom CNN Model.srt 2.3 kB
  • ~Get Your Files Here !/6. Model Building/3. Understanding pre-trained models.srt 2.2 kB
  • ~Get Your Files Here !/7. Compiling the Model/4. Putting all together for MobileNetV2.srt 2.2 kB
  • ~Get Your Files Here !/12. Project Files and Code/code/utils/create_dataset.py 1.8 kB
  • ~Get Your Files Here !/6. Model Building/7. Building the final MobileNetV2 model.srt 1.7 kB
  • ~Get Your Files Here !/6. Model Building/4. About MobileNetV2 model.srt 1.7 kB
  • ~Get Your Files Here !/6. Model Building/5. Loading the MobileNetV2 classifier.srt 1.7 kB
  • ~Get Your Files Here !/1. Introduction and Getting Started/1. Project Overview.srt 1.7 kB
  • ~Get Your Files Here !/10. Model Evaluation/2. About Classification Report.srt 1.7 kB
  • ~Get Your Files Here !/3. Common Methods for plotting and class weight calculation/1. Creating a common method to get the number of files from a directory.srt 1.6 kB
  • ~Get Your Files Here !/7. Compiling the Model/2. About Adam Optimizer.srt 1.6 kB
  • ~Get Your Files Here !/8. ModelCheckpoint/1. About Model Checkpoint.srt 1.5 kB
  • ~Get Your Files Here !/2. Data Understanding & Importing Libraries/2. Setting up the project in Google Colab_Part1.srt 1.5 kB
  • ~Get Your Files Here !/10. Model Evaluation/6. SerializeWriting the model to disk.srt 1.5 kB
  • ~Get Your Files Here !/9. Fitting the Model/1. About Epoch and Batch Size.srt 1.4 kB
  • ~Get Your Files Here !/12. Project Files and Code/code/utils/config.py 1.2 kB
  • ~Get Your Files Here !/12. Project Files and Code/code/utils/getPaths.py 1.1 kB
  • ~Get Your Files Here !/Bonus Resources.txt 386 Bytes
  • Get Bonus Downloads Here.url 182 Bytes
  • ~Get Your Files Here !/12. Project Files and Code/1. Full Project Code.html 78 Bytes
  • ~Get Your Files Here !/12. Project Files and Code/code/Kaggle Link_chest-xray-pneumonia.txt 61 Bytes

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