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- ~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
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- ~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
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- ~Get Your Files Here !/2. Data Understanding & Importing Libraries/4. About Config and Create_Dataset File.mp4 86.9 MB
- ~Get Your Files Here !/7. Model Building/2. Building a custom CNN network architecture.mp4 54.6 MB
- ~Get Your Files Here !/12. Using ResNet50 model to detect presence of malignant cells in images/2. Loading an image and predicting using the model whether the person has malignant.mp4 47.9 MB
- ~Get Your Files Here !/15. Project Files and Code/output/CM_weights-010-0.3063.hdf5 44.4 MB
- ~Get Your Files Here !/10. Fitting the Model/2. Model Fitting of ResNet50, Custom CNN.mp4 42.8 MB
- ~Get Your Files Here !/7. Model Building/1. Model Building using ResNet50.mp4 40.6 MB
- ~Get Your Files Here !/2. Data Understanding & Importing Libraries/7. Plotting some samples from both the classes.mp4 36.5 MB
- ~Get Your Files Here !/2. Data Understanding & Importing Libraries/5. Importing the Libraries.mp4 35.2 MB
- ~Get Your Files Here !/3. Common Methods for plotting and class weight calculation/3. Calculating the class weights in train directory.mp4 33.5 MB
- ~Get Your Files Here !/4. Data Augmentation/2. Implementing Data Augmentation techniques.mp4 31.7 MB
- ~Get Your Files Here !/11. Model Evaluation/1. Predicting on the test data using ResNet50 and Custom CNN Model.mp4 30.6 MB
- ~Get Your Files Here !/13. Using custom CNN model to detect presence of malignant cells in images/2. Loading an image and predicting using the model whether the person has malignant.mp4 30.1 MB
- ~Get Your Files Here !/2. Data Understanding & Importing Libraries/6. Plotting the count of data against each class in each directory.mp4 29.1 MB
- ~Get Your Files Here !/12. Using ResNet50 model to detect presence of malignant cells in images/1. Loading the ResNet50 model from drive.mp4 28.9 MB
- ~Get Your Files Here !/5. Data Generators/2. Implementing Data Generators.mp4 28.2 MB
- ~Get Your Files Here !/1. Introduction and Getting Started/3. Understanding the project folder structure.mp4 28.2 MB
- ~Get Your Files Here !/2. Data Understanding & Importing Libraries/1. Understanding the dataset and the folder structure.mp4 28.1 MB
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