Understanding Dropout and implementing it on MNIST dataset
Over-fitting is a major problem in deep learning and a plethora of techniques have been introduced to prevent it. One of the most effective one is called “dropout”. Let’s use […]
Machine Learning enthusiast having 2 research papers in this field. I enjoy crunching numbers to reveal insights and using AI for interesting applications. I am currently pursuing bachelors of technology in computer science.
Over-fitting is a major problem in deep learning and a plethora of techniques have been introduced to prevent it. One of the most effective one is called “dropout”. Let’s use […]
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