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Stars1
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LanguagePython
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Created almost 5 years ago
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MemoryControlled-MultiheadSelfAtt
Memory controlled sequential self attention for sound recognitionTalkToYouTubeVideoTranscript-LLM-LangChain-Streamlit
A LangChain and Streamlit powered LLM application to talk to your YouTube video transcriptDiffusion_Models_Course
Diffusion Models CourseAll-Conv-Net-for-Bird-Activity-Detection-Significance-of-Learned-Pooling
Bird activity detection (BAD) deals with the task of predicting the presence or absence of bird vocalizations in a given audio recording. In this work, we propose an all-convolutional neural network (all-conv net) for bird activity detection. All the layers of this network including pooling and dense layers are implemented using convolution operations. The pooling operation implemented by convolution is termed as learned pooling. This learned pooling takes into account the inter featuremap correlations which are ignored in traditional max-pooling. This helps in learning a pooling function which aggregates the complementary information in various feature maps, leading to better bird activity detection. Experimental observations confirm this hypothesis. The performance of the proposed all-conv net is evaluated on the BAD Challenge 2017 dataset. The proposed all-conv net achieves state-of-art performance with a simple architecture and does not employ any data pre-processing or data augmentation techniques.DeepLearning.AI-courses-LLM-PromptEngineering-ChatGPT
A summary of the LLM, Prompt Engineering, and ChatGPT related courses offered by DeepLearning.AILove Open Source and this site? Check out how you can help us
