Deep Learning Revolution
Traditional machine learning required extensive expert knowledge and manual feature extraction to classify vehicles, which was a time-consuming process. Deep learning automates this feature engineering, making it more accessible and faster to develop solutions. However, the complexity of deep neural networks necessitates vast amounts of data and GPU acceleration for effective training, allowing for deeper and more sophisticated models.In this clip
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The AI Podcast
Demystifying AI with NVIDIA’s Will Ramey - Ep. 113
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