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Deep Learning Specialization course offered by DeepLearning.AI on Coursera
Colonoscopy polyps detection with CNNs
Mobile Net V2 was trained using custom and Kaggle datasets of 9.5k human face pictures with properly, poorly, and incorrectly worn masks. The model scores 95–96 percent validation after haarcascade_frontalface_alt2.xml detects the frontal face area in real time.
A performance comparison of sentiment analysis between pre-trained NLP models and visualization them in TensorBoard . Fine tuning some model to for more accurate prediction.
A flask server for deploying pytorch malayalam character recognition model
Image Classification with PyTorch
Transfer Learning Deep Neural Network inside a Web Application for quickly detecting if a construction worker is wearing safety gear.
Transfer Learning with VGG-19.
baby cry analysis to identify the reason behind baby's cry
Some Deep Learning Practice Codes of Basic Topics.
Transfer Learning using Mobilenet model on a Flower Dataset