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deep-neural-network

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Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural networks are a type of deep learning, which is a type of machine learning. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing.

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nni

microsoft / nni

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An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

python data-science machine-learning deep-learning neural-network tensorflow machine-learning-algorithms pytorch distributed hyperparameter-optimization feature-engineering nas bayesian-optimization hyperparameter-tuning automl automated-machine-learning model-compression neural-architecture-search deep-neural-network mlops
  • Updated May 10, 2024
  • Python

arasgungore / DeepLearning.AI-Deep-Learning

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My solutions to the assignments in the Deep Learning Specialization offered by DeepLearning.AI on Coursera.

natural-language-processing deep-neural-networks computer-vision deep-learning neural-network coursera neural-networks deep-learning-algorithms deeplearning convolutional-neural-networks convolutional-neural-network sequence-models coursera-assignment deeplearning-ai coursera-deep-learning deep-learning-specialization coursera-specialization deep-neural-network coursera-deeplearning deeplearningai
  • Updated Feb 4, 2024
  • Jupyter Notebook

RimTouny / Predictive-Analysis-for-Patient-Appointment-Attendance-in-a-Medical-Center-using-R

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Predicting patient attendance at Bay Clinic using 'medicalcentre.csv'. Employing SVM, Decision Trees, and DNN models for accuracy, sensitivity, specificity evaluation, and ROC analysis. Part of a Data Science course in my master's program at the University of Ottawa 2023.

data-science machine-learning keras classification outliers r-language r-programming model-evaluation normalization model-development gridsearchcv deep-neural-network activation-function r-programming-language downstream-processes
  • Updated Jan 10, 2024
  • Jupyter Notebook
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