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probabilistic-models

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ibrahimjelliti / Deeplearning.ai-Natural-Language-Processing-Specialization

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This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

nlp machine-learning deep-learning naive-bayes coursera neural-networks logistic-regression attention-mechanism neural specialization probabilistic-models encoder-decoder sequence-models deeplearning-ai
  • Updated Nov 2, 2020
  • Jupyter Notebook

kourouklides / artificial_neural_networks

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A collection of Methods and Models for various architectures of Artificial Neural Networks

python data-science machine-learning deep-neural-networks deep-learning wiki tensorflow architecture machine-learning-algorithms keras neural-networks artificial-neural-networks machinelearning theory bayesian-inference variational-inference edward probabilistic-models bayesian-neural-networks probabilistic-modeling architectures bayesian-learning edward2
  • Updated Sep 26, 2020
  • Python

ltfschoen / AIND-Recognizer

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Term 1 Project 3 Design a Sign Language Recognition System by Luke Schoen for Udacity Artificial Intelligence Nanodegree (AIND)

natural-language-processing cross-platform algorithms jupyter-notebook n-grams feature-selection artificial-intelligence model-selection python36 baum-welch hidden-markov-models probabilistic-models pandas-dataframes sign-language-recognition-system model-training bayesian-information-criterion discriminative-criterion
  • Updated May 2, 2017
  • Jupyter Notebook

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