Towards diverse generation and reliable classification using neural networks
<p>Humans can easily understand their surroundings, analyze the situation, and even figure out the intentions of others, all in a few seconds. However, computers see the surroundings as an array of numbers and we need to write algorithms for them to make a sense of it. It is a huge challenge b...
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| Format: | Thesis |
| Language: | English |
| Published: |
2022
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