Pruning and Quantization in Keras using TrashNet Dataset

Pruning and quantization are powerful techniques that can optimize deep learning models, especially in resource-constrained environments. They help to reduce model size and computational requirements while maintaining similar performance to the original model.

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Manage Household Waste using Open Source Data

Waste management is a major issue in our modern society. The increasing population and consumption lead to more waste being generated.

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Deep Learning Approach to Manage Household Waste

Household waste, or residential waste, is the discarded material produced by individuals and families in their homes, including food scraps, paper, plastics, glass, metal, and electronics. These waste generated on a daily basis varies significantly, influenced by various factors such a location, population density, and lifestyle.

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