Essays about: "IT project problem recognition"
Showing result 16 - 20 of 40 essays containing the words IT project problem recognition.
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16. Multivariate analysis of the parameters in a handwritten digit recognition LSTM system
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Throughout this project, we perform a multivariate analysis of the parameters of a long short-term memory (LSTM) system for handwritten digit recognition in order to understand the model’s behaviour. In particular, we are interested in explaining how this behaviour precipitate from its parameters, and what in the network is responsible for the model arriving at a certain decision. READ MORE
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17. Evaluation of the Effects of Different Preprocessing Methods on OCR Results from Images with Varying Quality
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Counterfeited products present a serious problem in many aspects of society. More specifically, counterfeited mechanical components in machines and structures can cause great health risks. For consumers it can be very difficult to identify a counterfeited product, and many industries try to find ways to easily detect a counterfeit. READ MORE
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18. Developing a spiking neural model of Long Short-Term Memory architectures
University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/FörbränningsfysikAbstract : Current advances in Deep Learning have shown significant improvements in common Machine Learning applications such as image, speech and text recognition. Specifically, in order to process time series, deep Neural Networks (NNs) with Long Short-Term Memory (LSTM) units are widely used in sequence recognition problems to store recent information and to use it for future predictions. READ MORE
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19. Sequence Correlations in HP Model Proteins
University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation; Lunds universitet/Institutionen för astronomi och teoretisk fysik - Genomgår omorganisationAbstract : Amino acids that are in close contact in a protein structure tend to co-evolve, which gives rise to sequence correlations. Direct coupling analysis (DCA) is a method for predicting such contacts directly from sequence correlations, without assuming any prior knowledge of structures. READ MORE
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20. Natural Language Processing in Artificial Neural Networks: Sentence analysis in medical papers
University essay from Lunds universitet/Institutionen för astronomi och teoretisk fysik - Genomgår omorganisation; Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisationAbstract : Convolutional Neural Networks (CNNs) and pre-trained word embeddings have revolutionized the field of Natural Language Processing (NLP) during the last years. In this project, CNNs are used on top of the Word2Vec word representation for a sentence classification task on medical research articles. READ MORE
