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Neural Networks Courses

Explore 100% online Degrees and Certificates on Coursera

DeepLearning.AI
DeepLearning.AI TensorFlow DeveloperDeepLearning.AI
Arizona State University
AI and Machine Learning MasterTrack CertificateArizona State University
HSE University
Master of Data and Network AnalyticsHSE University
Arizona State University
Master of Computer ScienceArizona State University
University of Illinois
Master of Computer Science in Data ScienceUniversity of Illinois
Imperial College London
Global Master of Public HealthImperial College London
Imperial College London
Master of Machine Learning and Data ScienceImperial College London
IBM
IBM AI EngineeringIBM
IBM
IBM Applied AIIBM
CertNexus
CertNexus Certified Artificial Intelligence PractitionerCertNexus
DeepLearning.AI
DeepLearning.AI TensorFlow DeveloperDeepLearning.AI
Arizona State University
AI and Machine Learning MasterTrack CertificateArizona State University
HSE University
Master of Data and Network AnalyticsHSE University
Arizona State University
Master of Computer ScienceArizona State University
University of Illinois
Master of Computer Science in Data ScienceUniversity of Illinois
Imperial College London
Global Master of Public HealthImperial College London
Imperial College London
Master of Machine Learning and Data ScienceImperial College London
IBM
IBM AI EngineeringIBM
IBM
IBM Applied AIIBM
CertNexus
CertNexus Certified Artificial Intelligence PractitionerCertNexus
DeepLearning.AI
DeepLearning.AI TensorFlow DeveloperDeepLearning.AI
Arizona State University
AI and Machine Learning MasterTrack CertificateArizona State University
HSE University
Master of Data and Network AnalyticsHSE University

Showing 316 total results for "neural networks"

  • Placeholder
    Deep Learning
    DeepLearning.AI
    SPECIALIZATION
    Rated 4.8 out of five stars. 116740 reviews
    4.8(116,740)
    990k students
    Intermediate LevelIntermediate
  • Placeholder
    Neural Networks and Deep Learning
    DeepLearning.AI
    COURSE
    Rated 4.9 out of five stars. 101124 reviews
    4.9(101,124)
    900k students
    Intermediate LevelIntermediate
  • Placeholder
    Machine Learning
    Stanford University
    COURSE
    Rated 4.9 out of five stars. 154052 reviews
    4.9(154,052)
    3.9m students
    Mixed LevelMixed
  • Placeholder
    Advanced Machine Learning
    National Research University Higher School of Economics
    SPECIALIZATION
    Rated 4.4 out of five stars. 3674 reviews
    4.4(3,674)
    300k students
    Advanced LevelAdvanced
  • Placeholder
    TensorFlow 2 for Deep Learning
    Imperial College London
    SPECIALIZATION
    Rated 4.9 out of five stars. 254 reviews
    4.9(254)
    18k students
    Intermediate LevelIntermediate
  • Placeholder
    Basic Image Classification with TensorFlow
    Coursera Project Network

    NEW

    GUIDED PROJECT
    Rated 4.6 out of five stars. 650 reviews
    4.6(650)
    14k students
    Beginner LevelBeginner
  • Placeholder
    Introduction to Machine Learning
    Duke University
    COURSE
    Rated 4.6 out of five stars. 984 reviews
    4.6(984)
    49k students
    Intermediate LevelIntermediate
  • Placeholder
    Mathematics for Machine Learning
    Imperial College London
    SPECIALIZATION
    Rated 4.6 out of five stars. 10264 reviews
    4.6(10,264)
    250k students
    Beginner LevelBeginner
  • Placeholder
    DeepLearning.AI TensorFlow Developer
    DeepLearning.AI
    PROFESSIONAL CERTIFICATE
    Rated 4.7 out of five stars. 17316 reviews
    4.7(17,316)
    270k students
    Intermediate LevelIntermediate
  • Placeholder
    An Introduction to Practical Deep Learning
    Intel
    COURSE
    Rated 4.3 out of five stars. 123 reviews
    4.3(123)
    21k students
    Intermediate LevelIntermediate
  • Placeholder
    AI For Everyone
    DeepLearning.AI
    COURSE
    Rated 4.8 out of five stars. 29993 reviews
    4.8(29,993)
    590k students
    Beginner LevelBeginner
  • Placeholder
    Introduction to Deep Learning & Neural Networks with Keras
    IBM
    COURSE
    Rated 4.7 out of five stars. 794 reviews
    4.7(794)
    15k students
    Intermediate LevelIntermediate
  • Placeholder
    Computational Neuroscience
    University of Washington
    COURSE
    Rated 4.6 out of five stars. 808 reviews
    4.6(808)
    81k students
    Beginner LevelBeginner
  • Placeholder
    Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
    DeepLearning.AI
    COURSE
    Rated 4.9 out of five stars. 56662 reviews
    4.9(56,662)
    380k students
    Beginner LevelBeginner
  • Placeholder
    Customising your models with TensorFlow 2
    Imperial College London
    COURSE
    Rated 5 out of five stars. 67 reviews
    5(67)
    6.5k students
    Intermediate LevelIntermediate
  • Placeholder
    Bayesian Methods for Machine Learning
    National Research University Higher School of Economics
    COURSE
    Rated 4.5 out of five stars. 638 reviews
    4.5(638)
    62k students
    Advanced LevelAdvanced
  • Placeholder
    Synapses, Neurons and Brains
    Hebrew University of Jerusalem
    COURSE
    Rated 4.8 out of five stars. 958 reviews
    4.8(958)
    60k students
    Mixed LevelMixed
  • Placeholder
    Probabilistic Graphical Models 1: Representation
    Stanford University
    COURSE
    Rated 4.7 out of five stars. 1313 reviews
    4.7(1,313)
    75k students
    Advanced LevelAdvanced
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    Machine Learning for All
    University of London
    COURSE
    Rated 4.7 out of five stars. 2266 reviews
    4.7(2,266)
    79k students
    Beginner LevelBeginner
  • Placeholder
    Convolutional Neural Networks
    DeepLearning.AI
    COURSE
    Rated 4.9 out of five stars. 37772 reviews
    4.9(37,772)
    340k students
    Intermediate LevelIntermediate

Searches related to neural networks

neural networks and deep learning

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improving deep neural networks: hyperparameter tuning, regularization and optimization

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

  • Deep Learning: DeepLearning.AI
  • Neural Networks and Deep Learning: DeepLearning.AI
  • Machine Learning: Stanford University
  • Advanced Machine Learning: National Research University Higher School of Economics
  • TensorFlow 2 for Deep Learning: Imperial College London
  • Basic Image Classification with TensorFlow: Coursera Project Network
  • Introduction to Machine Learning: Duke University
  • Mathematics for Machine Learning: Imperial College London
  • DeepLearning.AI TensorFlow Developer: DeepLearning.AI
  • An Introduction to Practical Deep Learning: Intel

Skills you can learn in Machine Learning

Python Programming (33)
Tensorflow (32)
Deep Learning (30)
Artificial Neural Network (24)
Big Data (18)
Statistical Classification (17)
Reinforcement Learning (13)
Algebra (10)
Bayesian (10)
Linear Algebra (10)
Linear Regression (9)
Numpy (9)

Frequently Asked Questions about Neural Networks

  • Neural networks, also known as neural nets or artificial neural networks (ANN), are machine learning algorithms organized in networks that mimic the functioning of neurons in the human brain. Using this biological neuron model, these systems are capable of unsupervised learning from massive datasets.

    This is an important enabler for artificial intelligence (AI) applications, which are used across a growing range of tasks including image recognition, natural language processing (NLP), and medical diagnosis. The related field of deep learning also relies on neural networks, typically using a convolutional neural network (CNN) architecture that connects multiple layers of neural networks in order to enable more sophisticated applications.

    For example, using deep learning, a facial recognition system can be created without specifying features such as eye and hair color; instead, the program can simply be fed thousands of images of faces and it will learn what to look for to identify different individuals over time, in much the same way that humans learn. Regardless of the end-use application, neural networks are typically created in TensorFlow and/or with Python programming skills.

  • Neural networks are a fundamental concept to understand for jobs in artificial intelligence (AI) and deep learning. And, as the number of industries seeking to leverage these approaches continues to grow, so do career opportunities for professionals with expertise in neural networks. For instance, these skills could lead to jobs in healthcare creating tools to automate X-ray scans or assist in drug discovery, or a job in the automotive industry developing autonomous vehicles.

    Professionals dedicating their careers to cutting-edge work in neural networks typically pursue a master’s degree or even a doctorate in computer science. This high-level expertise in neural networks and artificial intelligence are in high demand; according to the Bureau of Labor Statistics, computer research scientists earn a median annual salary of $122,840 per year, and these jobs are projected to grow much faster than average over the next decade.

  • Absolutely - in fact, Coursera is one of the best places to learn about neural networks, online or otherwise. You can take courses and Specializations spanning multiple courses in topics like neural networks, artificial intelligence, and deep learning from pioneers in the field - including deeplearning.ai and Stanford University. Coursera has also partnered with industry leaders such as IBM, Google Cloud, and Amazon Web Services to offer courses that can lead to professional certificates in applied AI and other areas. You can even learn about neural networks with hands-on Guided Projects, a way to learn on Coursera by completing step-by-step tutorials led by experienced instructors.

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What Coursera Has to Offer

learning programdescription
GUIDED PROJECT

Learn a job-relevant skill that you can use today in under 2 hours through an interactive experience guided by a subject matter expert. Access everything you need right in your browser and complete your project confidently with step-by-step instructions.

COURSE

Learn Machine Learning with online Machine Learning courses. Take courses from the world's best instructors and universities. Courses include recorded auto-graded and peer-reviewed assignments, video lectures, and community discussion forums. When you complete a course, you’ll be eligible to receive a shareable electronic Course Certificate for a small fee.

SPECIALIZATION

Learn Machine Learning with online Machine Learning Specializations. Enroll in a Specialization to master a specific career skill. You’ll complete a series of rigorous courses, tackle hands-on projects, and earn a Specialization Certificate to share with your professional network and potential employers.

PROFESSIONAL CERTIFICATE

Whether you’re looking to start a new career or change your current one, Professional Certificates on Coursera help you become job ready. Learn at your own pace from top companies and universities, apply your new skills to hands-on projects that showcase your expertise to potential employers, and earn a career credential to kickstart your new career.

MASTERTRACK™ CERTIFICATE

With MasterTrack™ Certificates, portions of Master’s programs have been split into online modules, so you can earn a high quality university-issued career credential at a breakthrough price in a flexible, interactive format. Benefit from a deeply engaging learning experience with real-world projects and live, expert instruction. If you are accepted to the full Master's program, your MasterTrack coursework counts towards your degree.

DEGREE

Transform your resume with an online degree from a top university for a breakthrough price. Our modular degree learning experience gives you the ability to study online anytime and earn credit as you complete your course assignments. You'll receive the same credential as students who attend class on campus. Coursera degrees cost much less than comparable on-campus programs.

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