Deep Learningcs230.stanford.edu/projects_spring_2018/reports/8291012.pdfFor the 2D CNN and RNN...

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Transcript of Deep Learningcs230.stanford.edu/projects_spring_2018/reports/8291012.pdfFor the 2D CNN and RNN...

Page 1: Deep Learningcs230.stanford.edu/projects_spring_2018/reports/8291012.pdfFor the 2D CNN and RNN models, the spectrogram of the time-series data is used . as input (spectrogram is a
Page 2: Deep Learningcs230.stanford.edu/projects_spring_2018/reports/8291012.pdfFor the 2D CNN and RNN models, the spectrogram of the time-series data is used . as input (spectrogram is a
Page 3: Deep Learningcs230.stanford.edu/projects_spring_2018/reports/8291012.pdfFor the 2D CNN and RNN models, the spectrogram of the time-series data is used . as input (spectrogram is a
Page 4: Deep Learningcs230.stanford.edu/projects_spring_2018/reports/8291012.pdfFor the 2D CNN and RNN models, the spectrogram of the time-series data is used . as input (spectrogram is a
Page 5: Deep Learningcs230.stanford.edu/projects_spring_2018/reports/8291012.pdfFor the 2D CNN and RNN models, the spectrogram of the time-series data is used . as input (spectrogram is a
Page 6: Deep Learningcs230.stanford.edu/projects_spring_2018/reports/8291012.pdfFor the 2D CNN and RNN models, the spectrogram of the time-series data is used . as input (spectrogram is a
Page 7: Deep Learningcs230.stanford.edu/projects_spring_2018/reports/8291012.pdfFor the 2D CNN and RNN models, the spectrogram of the time-series data is used . as input (spectrogram is a