[ DevCourseWeb.com ] Udemy - Data Science - CNN and OpenCV - Chest XRAY-Pneumonia Detection
File List
- ~Get Your Files Here !/12. Project Files and Code/code/output/CM_16_weights-018-0.1818.hdf5 89.4 MB
- ~Get Your Files Here !/2. Data Understanding & Importing Libraries/3. Setting up the project in Google Colab_Part2.mp4 80.6 MB
- ~Get Your Files Here !/6. Model Building/9. Building a custom CNN network architecture.mp4 76.1 MB
- ~Get Your Files Here !/2. Data Understanding & Importing Libraries/4. About Config and Create_Dataset File.mp4 72.4 MB
- ~Get Your Files Here !/2. Data Understanding & Importing Libraries/6. Plotting the count of data against each class in each directory.mp4 51.0 MB
- ~Get Your Files Here !/2. Data Understanding & Importing Libraries/7. Plotting some samples from both the classes.mp4 46.8 MB
- ~Get Your Files Here !/9. Fitting the Model/2. MobileNetV2 and Custom CNN Model Fitting.mp4 42.6 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 40.1 MB
- ~Get Your Files Here !/10. Model Evaluation/4. Computing the confusion matrix and using the same to derive the accuracy, sensit.mp4 38.3 MB
- ~Get Your Files Here !/2. Data Understanding & Importing Libraries/5. Importing the Libraries.mp4 37.2 MB
- ~Get Your Files Here !/3. Common Methods for plotting and class weight calculation/3. Calculating the class weights in train directory.mp4 35.2 MB
- ~Get Your Files Here !/6. Model Building/8. Understanding Conv2D, Filters, Relu activation, Batch Normalization, MaxPooling2.mp4 26.8 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 25.9 MB
- ~Get Your Files Here !/4. Data Augmentation/2. Implementing Data Augmentation techniques.mp4 24.6 MB
- ~Get Your Files Here !/5. Data Generators/2. Implementing Data Generators.mp4 23.4 MB
- ~Get Your Files Here !/10. Model Evaluation/1. Predicting on the test data using both MobileNetV2 and Custom CNN Model.mp4 22.3 MB
- ~Get Your Files Here !/8. ModelCheckpoint/2. Implementing Model Checkpoint.mp4 21.9 MB
- ~Get Your Files Here !/6. Model Building/6. Building a new fully-connected (FC) head.mp4 20.3 MB
- ~Get Your Files Here !/11. Using trained model to predict whether a person has Pneumonia/1. Loading the final model from drive.mp4 19.8 MB
- ~Get Your Files Here !/6. Model Building/2. About OpenCV.mp4 17.9 MB
- ~Get Your Files Here !/4. Data Augmentation/1. About Data Augmentation.mp4 17.1 MB
- ~Get Your Files Here !/2. Data Understanding & Importing Libraries/1. Understanding the dataset and the folder structure.mp4 17.0 MB
- ~Get Your Files Here !/7. Compiling the Model/1. Role of Optimizer in Deep Learning.mp4 16.5 MB
- ~Get Your Files Here !/6. Model Building/5. Loading the MobileNetV2 classifier.mp4 16.4 MB
- ~Get Your Files Here !/1. Introduction and Getting Started/3. Understanding the project folder structure.mp4 15.4 MB
- ~Get Your Files Here !/1. Introduction and Getting Started/2. Introduction to Google Colab.mp4 15.2 MB
- ~Get Your Files Here !/10. Model Evaluation/5. Plot training and validation accuracy and loss.mp4 14.9 MB
- ~Get Your Files Here !/10. Model Evaluation/3. Classification Report in action for both MobileNetV2 and Custom CNN Model.mp4 14.5 MB
- ~Get Your Files Here !/5. Data Generators/1. About Data Generators.mp4 14.5 MB
- ~Get Your Files Here !/7. Compiling the Model/5. Putting all together for Custom CNN Model.mp4 12.3 MB
- ~Get Your Files Here !/6. Model Building/1. About Convolutional Neural Network (CNN).mp4 12.0 MB
- ~Get Your Files Here !/7. Compiling the Model/3. About binary cross entropy loss function..mp4 11.2 MB
- ~Get Your Files Here !/12. Project Files and Code/code/output/MN_16_weights-016-0.2087.hdf5 11.0 MB
- ~Get Your Files Here !/7. Compiling the Model/4. Putting all together for MobileNetV2.mp4 10.9 MB
- ~Get Your Files Here !/6. Model Building/3. Understanding pre-trained models.mp4 10.0 MB
- ~Get Your Files Here !/6. Model Building/7. Building the final MobileNetV2 model.mp4 8.9 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 8.5 MB
- ~Get Your Files Here !/6. Model Building/4. About MobileNetV2 model.mp4 7.6 MB
- ~Get Your Files Here !/10. Model Evaluation/6. SerializeWriting the model to disk.mp4 7.1 MB
- ~Get Your Files Here !/10. Model Evaluation/2. About Classification Report.mp4 7.0 MB
- ~Get Your Files Here !/2. Data Understanding & Importing Libraries/2. Setting up the project in Google Colab_Part1.mp4 6.1 MB
- ~Get Your Files Here !/8. ModelCheckpoint/1. About Model Checkpoint.mp4 5.9 MB
- ~Get Your Files Here !/1. Introduction and Getting Started/1. Project Overview.mp4 5.7 MB
- ~Get Your Files Here !/9. Fitting the Model/1. About Epoch and Batch Size.mp4 5.4 MB
- ~Get Your Files Here !/7. Compiling the Model/2. About Adam Optimizer.mp4 5.0 MB
- ~Get Your Files Here !/12. Project Files and Code/code/train_MobileNet_16_modelCheckpoint_reshuffle_data (1).ipynb 891.7 KB
- ~Get Your Files Here !/12. Project Files and Code/code/train_CustomModel_16_conv_modelCheckpoint_reshuffle_data.ipynb 857.8 KB
- ~Get Your Files Here !/12. Project Files and Code/code/Detect_Pneumonia.ipynb 697.6 KB
- ~Get Your Files Here !/12. Project Files and Code/code/sampleTest_Pictures/Normal.jpeg 246.8 KB
- ~Get Your Files Here !/12. Project Files and Code/code/sampleTest_Pictures/Pneumonia.jpeg 75.6 KB
- ~Get Your Files Here !/12. Project Files and Code/code/output/MN_16_TrainingHistoryPlot.png 24.7 KB
- ~Get Your Files Here !/2. Data Understanding & Importing Libraries/3. Setting up the project in Google Colab_Part2.srt 16.0 KB
- ~Get Your Files Here !/2. Data Understanding & Importing Libraries/4. About Config and Create_Dataset File.srt 14.3 KB
- ~Get Your Files Here !/6. Model Building/9. Building a custom CNN network architecture.srt 13.3 KB
- ~Get Your Files Here !/2. Data Understanding & Importing Libraries/6. Plotting the count of data against each class in each directory.srt 10.3 KB
- ~Get Your Files Here !/2. Data Understanding & Importing Libraries/7. Plotting some samples from both the classes.srt 7.8 KB
- ~Get Your Files Here !/10. Model Evaluation/4. Computing the confusion matrix and using the same to derive the accuracy, sensit.srt 7.6 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 6.3 KB
- ~Get Your Files Here !/3. Common Methods for plotting and class weight calculation/3. Calculating the class weights in train directory.srt 6.3 KB
- ~Get Your Files Here !/2. Data Understanding & Importing Libraries/5. Importing the Libraries.srt 6.0 KB
- ~Get Your Files Here !/9. Fitting the Model/2. MobileNetV2 and Custom CNN Model Fitting.srt 6.0 KB
- ~Get Your Files Here !/2. Data Understanding & Importing Libraries/1. Understanding the dataset and the folder structure.srt 5.6 KB
- ~Get Your Files Here !/1. Introduction and Getting Started/3. Understanding the project folder structure.srt 4.8 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 4.7 KB
- ~Get Your Files Here !/10. Model Evaluation/1. Predicting on the test data using both MobileNetV2 and Custom CNN Model.srt 4.5 KB
- ~Get Your Files Here !/5. Data Generators/2. Implementing Data Generators.srt 4.3 KB
- ~Get Your Files Here !/4. Data Augmentation/2. Implementing Data Augmentation techniques.srt 4.3 KB
- ~Get Your Files Here !/8. ModelCheckpoint/2. Implementing Model Checkpoint.srt 4.0 KB
- ~Get Your Files Here !/6. Model Building/8. Understanding Conv2D, Filters, Relu activation, Batch Normalization, MaxPooling2.srt 3.7 KB
- ~Get Your Files Here !/11. Using trained model to predict whether a person has Pneumonia/1. Loading the final model from drive.srt 3.6 KB
- ~Get Your Files Here !/1. Introduction and Getting Started/2. Introduction to Google Colab.srt 3.5 KB
- ~Get Your Files Here !/4. Data Augmentation/1. About Data Augmentation.srt 3.3 KB
- ~Get Your Files Here !/5. Data Generators/1. About Data Generators.srt 3.2 KB
- ~Get Your Files Here !/7. Compiling the Model/1. Role of Optimizer in Deep Learning.srt 3.2 KB
- ~Get Your Files Here !/10. Model Evaluation/5. Plot training and validation accuracy and loss.srt 2.9 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 2.8 KB
- ~Get Your Files Here !/10. Model Evaluation/3. Classification Report in action for both MobileNetV2 and Custom CNN Model.srt 2.7 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 2.1 KB
- ~Get Your Files Here !/7. Compiling the Model/4. Putting all together for MobileNetV2.srt 2.1 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 1.6 KB
- ~Get Your Files Here !/10. Model Evaluation/2. About Classification Report.srt 1.6 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 1.5 KB
- ~Get Your Files Here !/7. Compiling the Model/2. About Adam Optimizer.srt 1.5 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 1.1 KB
- ~Get Your Files Here !/12. Project Files and Code/code/utils/getPaths.py 1.0 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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