Essays about: "FeedForward Network"
Showing result 16 - 20 of 42 essays containing the words FeedForward Network.
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16. Development of Neural Networks Using Deterministic Transforms
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Deep neural networks have been a leading research topic within the machine learning field for the past few years. The introduction of graphical processing units (GPUs) and hardware advances made possible the training of deep neural networks. Previously the training procedure was impossible due to the huge amount of training samples required. READ MORE
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17. Deep Convolutional Nonnegative Autoencoders
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In this thesis, nonnegative matrix factorization (NMF) is viewed as a feedbackward neural network and generalized to a deep convolutional architecture with forwardpropagation under β-divergence. NMF and feedfoward neural networks are put in relation and a new class of autoencoders is proposed, namely the nonnegative autoencoders. READ MORE
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18. Estimating Prediction Intervals with Machine Learning and Monte Carlo Methods in Online Advertising
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Online advertising presents a complex environment. The vast amount of available websites, platforms and formats as well as the trend of programmatic adpurchasing makes assessing a proposed advertisement in terms of cost and expected return challenging. READ MORE
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19. Classifying True and Fake Telecommunication Signals With Deep Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This project aimed to classified artificiality gener-ated,fake, and authentic,true, telecommunication signals, basedupon their frequency response, using methods from deep learn-ing. Another goal was to accomplish this with the least amountof dimension of data possible. READ MORE
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20. Detection of Human Emotion from Noise Speech
University essay from Blekinge Tekniska Högskola/Institutionen för tillämpad signalbehandlingAbstract : Detection of a human emotion from human speech is always a challenging task. Factors like intonation, pitch, and loudness of signal vary from different human voice. So, it's important to know the exact pitch, intonation and loudness of a speech for making it a challenging task for detection. READ MORE