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Neural Networks Courses

Neural networks courses can help you learn the basics of architecture design, backpropagation, activation functions, and optimization techniques. You can build skills in training models, tuning hyperparameters, and evaluating performance metrics. Many courses introduce tools like TensorFlow and PyTorch, that support implementing neural networks in practical applications such as image recognition, natural language processing, and predictive analytics.


Popular Neural Networks Courses and Certifications


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    EDUCBA

    AI Deep Learning Projects with TensorFlow

    Skills you'll gain: Tensorflow, Computer Vision, Model Evaluation, Convolutional Neural Networks, Deep Learning, Amazon Elastic Compute Cloud, Transfer Learning, Image Analysis, Amazon Web Services, Artificial Neural Networks, Keras (Neural Network Library), Model Deployment, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering, Data Preprocessing, Classification Algorithms, Application Development, Python Programming, Network Architecture

    Beginner · Specialization · 1 - 3 Months

  • U

    University of Colorado Boulder

    Fundamentals of Natural Language Processing

    Skills you'll gain: Natural Language Processing, Model Evaluation, Embeddings, Text Mining, Logistic Regression, Artificial Intelligence and Machine Learning (AI/ML), Statistical Modeling, Machine Learning Methods, Classification Algorithms, Unstructured Data, Deep Learning, Probability Distribution, Linear Algebra, Algorithms

    Build toward a degree

    3.7
    Rating, 3.7 out of 5 stars
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    11 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Computer Vision: YOLO Custom Object Detection with Colab GPU

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Google Cloud Platform, Deep Learning, Real Time Data, Python Programming, Applied Machine Learning, Development Environment, Data Preprocessing, Model Evaluation, Performance Tuning, Data Collection, Software Installation

    3.1
    Rating, 3.1 out of 5 stars
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    9 reviews

    Beginner · Course · 3 - 6 Months

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    Johns Hopkins University

    Machine Learning and Emerging Technologies in Cybersecurity

    Skills you'll gain: Model Evaluation, Intrusion Detection and Prevention, Threat Detection, Computer Security Incident Management, Cybersecurity, Anomaly Detection, Applied Machine Learning, Network Security, Machine Learning, Unsupervised Learning, Supervised Learning, Artificial Neural Networks

    Intermediate · Course · 1 - 3 Months

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    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering

    Intermediate · Course · 1 - 3 Months

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    LearnKartS

    Introduction to AI and Machine Learning

    Skills you'll gain: AWS SageMaker, Data Preprocessing, Computer Vision, Natural Language Processing, Machine Learning, Data Wrangling, Reinforcement Learning, Artificial Intelligence, Model Deployment

    4.3
    Rating, 4.3 out of 5 stars
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    7 reviews

    Beginner · Course · 1 - 4 Weeks

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    Packt

    Recommender Systems

    Skills you'll gain: Recurrent Neural Networks (RNNs), Model Evaluation, Apache Spark, Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Preprocessing, Natural Language Processing, AWS SageMaker, Scalability, Applied Machine Learning, Supervised Learning, Dimensionality Reduction, Machine Learning, Pandas (Python Package), Predictive Modeling, Autoencoders, Python Programming, Time Series Analysis and Forecasting, Data Manipulation

    Intermediate · Specialization · 3 - 6 Months

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    Northeastern University

    Machine Learning and Data Analytics Part 2

    Skills you'll gain: Text Mining, Data Mining, Time Series Analysis and Forecasting, Classification Algorithms, Big Data, Artificial Neural Networks, Regression Analysis, Data Science, Machine Learning Algorithms, Supervised Learning, Feature Engineering, Unsupervised Learning, Analytics, Predictive Modeling, Forecasting, Advanced Analytics, Deep Learning, Data Preprocessing

    Intermediate · Course · 1 - 3 Months

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    Coursera

    GenAI for Fraud Detection and Compliance

    Skills you'll gain: Fraud detection, Generative AI, Generative Model Architectures, Responsible AI, Regulatory Requirements, Compliance Management, Governance, Risk Management, Data Ethics, Anomaly Detection, Compliance Auditing, Artificial Intelligence, AI Enablement

    4.3
    Rating, 4.3 out of 5 stars
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    36 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Duke University

    Developing Explainable AI (XAI)

    Skills you'll gain: Responsible AI, Data Ethics, AI Security, Generative AI, Artificial Intelligence, AI Product Strategy, Machine Learning, Model Evaluation, Information Privacy

    4.6
    Rating, 4.6 out of 5 stars
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    47 reviews

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Face Recognition with Keras: Detect & Classify

    Skills you'll gain: Convolutional Neural Networks, Keras (Neural Network Library), Image Analysis, Computer Vision, Tensorflow, Data Preprocessing, Deep Learning, Embeddings, Model Deployment, Applied Machine Learning, Python Programming, Supervised Learning, NumPy, Model Evaluation

    Mixed · Course · 1 - 4 Weeks

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    University of Minnesota

    Predictive Analytics Project Ideation

    Skills you'll gain: Predictive Analytics, Business Analytics, Customer Analysis, Project Design, Advanced Analytics, Applied Machine Learning, Business Analysis, Solution Design, Sprint Planning, Regression Analysis, Statistical Machine Learning, Machine Learning, Design Thinking, Analysis, Ideation, Deep Learning, Time Series Analysis and Forecasting, Classification Algorithms

    Beginner · Course · 1 - 3 Months

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

  • AI Deep Learning Projects with TensorFlow: EDUCBA
  • Fundamentals of Natural Language Processing: University of Colorado Boulder
  • Computer Vision: YOLO Custom Object Detection with Colab GPU: Packt
  • Machine Learning and Emerging Technologies in Cybersecurity: Johns Hopkins University
  • Statistical Learning for Engineering Part 2: Northeastern University
  • Introduction to AI and Machine Learning: LearnKartS
  • Recommender Systems: Packt
  • Machine Learning and Data Analytics Part 2: Northeastern University
  • GenAI for Fraud Detection and Compliance: Coursera
  • Developing Explainable AI (XAI): Duke University

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)

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