Pneumonia Prediction: Training Convolutional Neural Network with Transfer Learning
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In this exhilarating tutorial by NeuralNine, the team embarks on a thrilling journey to train a powerful convolutional neural network to tackle the daunting task of classifying chest x-ray images for pneumonia detection. With the tenacity of a seasoned racer, they dive headfirst into the intricate realm of machine learning, navigating through the clouds to train the model and deploying it to a serverless endpoint with the finesse of a seasoned driver on a racetrack. The adrenaline-pumping excitement peaks as they craft a dynamic web application to interact with their creation, showcasing a level of versatility and skill that rivals the precision of a well-tuned sports car on a winding road.
Embracing the strategy of transfer learning, the team opts to fine-tune a pre-trained model, injecting new life into existing architecture by customizing it to their unique dataset. With the roar of powerful GPUs at their disposal, courtesy of their partnership with runpod, they harness the speed and efficiency needed to conquer the challenges posed by large datasets and complex model architectures. The synergy between man and machine is palpable as they seamlessly transition from local training to cloud-based deployment, demonstrating a level of technical prowess that echoes the mastery of a seasoned race car driver navigating a treacherous track.
As the tutorial unfolds, the team meticulously crafts a training script, meticulously installing essential packages like torch, torchvision, and pillow to lay the groundwork for their epic machine learning adventure. With the precision of a skilled mechanic tuning a high-performance engine, they structure the dataset for optimal training on the server, setting the stage for a thrilling performance. The ResNet-18 model takes center stage, its pre-existing weights serving as a solid foundation upon which the team builds, adding a touch of their expertise by modifying the model for dual outputs, a crucial step in distinguishing between normal and pneumonia cases with the accuracy of a seasoned driver hitting the apex of a corner at full speed.
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
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