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    • Recurrent Neural Network

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    58 results for "recurrent neural network"

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      Coursera Project Network

      Simple Recurrent Neural Network with Keras

      Skills you'll gain: Artificial Neural Networks, Machine Learning, Natural Language Processing, Data Science, Tensorflow

      4.5

      (118 reviews)

      Intermediate · Guided Project · Less Than 2 Hours

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      DeepLearning.AI

      Deep Learning

      Skills you'll gain: Deep Learning, Machine Learning, Artificial Neural Networks, Python Programming, Statistical Programming, Machine Learning Algorithms, Linear Algebra, Applied Machine Learning, Statistical Machine Learning, Dimensionality Reduction, Feature Engineering, Probability & Statistics, Business Psychology, Entrepreneurship, Machine Learning Software, Computer Vision, Marketing, General Statistics, Natural Language Processing, Computer Programming, Leadership and Management, Project Management, Regression, Sales, Strategy, Strategy and Operations, Tensorflow, Differential Equations, Mathematics, Applied Mathematics, Decision Making, Supply Chain Systems, Supply Chain and Logistics, Advertising, Communication, Estimation, Forecasting, Mathematical Theory & Analysis, Statistical Visualization, Algorithms, Theoretical Computer Science, Bayesian Statistics, Calculus, Probability Distribution, Statistical Tests, Big Data, Computer Architecture, Computer Networking, Data Management, Human Computer Interaction, Network Architecture, User Experience, Algebra, Computational Logic, Computer Graphic Techniques, Computer Graphics, Data Structures, Data Visualization, Hardware Design, Interactive Design, Markov Model, Network Model

      4.8

      (138.4k reviews)

      Intermediate · Specialization · 3-6 Months

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      DeepLearning.AI

      Sequence Models

      Skills you'll gain: Artificial Neural Networks, Deep Learning, Machine Learning, Natural Language Processing, Applied Machine Learning, Dimensionality Reduction, Feature Engineering, Linear Algebra, Machine Learning Algorithms, Probability & Statistics, Python Programming, Statistical Machine Learning, Statistical Programming, Differential Equations, Advertising, Business Psychology, Communication, Entrepreneurship, Estimation, Forecasting, Marketing, Applied Mathematics, General Statistics, Tensorflow, Algorithms, Big Data, Data Management, Human Computer Interaction, Machine Learning Software, Theoretical Computer Science, User Experience, Computer Graphics, Interactive Design

      4.8

      (29.2k reviews)

      Intermediate · Course · 1-4 Weeks

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      DeepLearning.AI

      Natural Language Processing with Sequence Models

      Skills you'll gain: Artificial Neural Networks, Deep Learning, Machine Learning, Natural Language Processing, Statistical Programming, Python Programming, Algorithms, Communication, Computer Programming, Machine Learning Algorithms, Theoretical Computer Science

      4.5

      (989 reviews)

      Intermediate · Course · 1-4 Weeks

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      Google Cloud

      Natural Language Processing on Google Cloud

      Skills you'll gain: Machine Learning, Deep Learning, Natural Language Processing, Applied Machine Learning, Artificial Neural Networks, Business Psychology, Cloud Computing, Entrepreneurship, Google Cloud Platform, Machine Learning Algorithms, Machine Learning Software, Other Cloud Platforms and Tools, Probability & Statistics, Tensorflow

      4.4

      (496 reviews)

      Advanced · Course · 1-3 Months

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      University of Colorado Boulder

      Introduction to Deep Learning

      Skills you'll gain: Deep Learning, Machine Learning, Artificial Neural Networks, Applied Machine Learning, Machine Learning Algorithms, Reinforcement Learning

      3.3

      (6 reviews)

      Intermediate · Course · 1-3 Months

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      Coursera Project Network

      Tweet Emotion Recognition with TensorFlow

      Skills you'll gain: Applied Machine Learning, Computer Programming, Deep Learning, Machine Learning, Natural Language Processing, Python Programming, Statistical Programming, Tensorflow

      4.6

      (133 reviews)

      Intermediate · Guided Project · Less Than 2 Hours

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      Free

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      Sungkyunkwan University

      Fundamentals of CNNs and RNNs

      Skills you'll gain: Deep Learning, Machine Learning

      4.3

      (14 reviews)

      Beginner · Course · 1-3 Months

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      Coursera Project Network

      Create a Superhero Name Generator with TensorFlow

      Skills you'll gain: Applied Machine Learning, Computer Programming, Data Analysis, Deep Learning, Machine Learning, Natural Language Processing, Python Programming, Statistical Programming, Tensorflow

      4.9

      (32 reviews)

      Intermediate · Guided Project · Less Than 2 Hours

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      SAS

      Modeling Time Series and Sequential Data

      Intermediate · Course · 1-3 Months

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      Free

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      DeepLearning.AI

      시퀀스 모델

      Intermediate · Course · 1-4 Weeks

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      University of Glasgow

      Deep learning in Electronic Health Records - CDSS 2

      Intermediate · Course · 1-4 Weeks

    Searches related to recurrent neural network

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    In summary, here are 10 of our most popular recurrent neural network courses


      Frequently Asked Questions about Recurrent Neural Network

      • A recurrent neural network is a type of computer network that follows a sequence of logic to reach a conclusion. It's designed to mimic the thought process of the human brain. Recurrent neural networks can be used to classify data to build sequences, time series, and predictions. They're a component of artificial intelligence and machine learning.‎

      • It's important to learn about recurrent neural networks since they have many uses in computer programming. In particular, you can use deep learning and artificial intelligence to produce predictive results used to solve scientific and business problems ranging from identifying new drug compounds to building sales forecasts. You can utilize recurrent neural networks to identify emotions in tweets, analyze business data, or develop statistics. Recurrent neural networks can help you to manage data problems such as natural language processing, correcting data errors, handling missing entries, and extracting information from small data sets. The technology has a great deal of power, so people who know how to use it properly are in demand.‎

      • Online courses on Coursera can help you learn about recurrent neural networks in several languages and for many different uses. Classes cover TensorFlow, Keras, and natural language processing. Some emphasize theories. Others look at recurrent neural networks as part of other computer science disciplines like artificial intelligence or deep learning. Courses are offered at beginner, intermediate, and advanced levels. Most courses have projects to apply what you learn. Some lead to Professional Certificates and Specializations. Guided Projects are offered to help you demonstrate your current level of understanding.‎

      • Before starting to learn about recurrent neural networks, it is helpful to have a basic understanding of computers and programming. Even at a beginner level, some courses assume that you understand the basics of Python. Some courses offer a general introduction to artificial intelligence and machine learning, including the concepts of recurrent neural networks, and do not call for programming or computing skills.‎

      This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.
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