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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


  • U

    University of Washington

    Designing Autonomous AI

    Skills you'll gain: AI Orchestration, Agentic Workflows, Organizational Skills, Process Design, Artificial Intelligence, Agentic systems, Functional Design, Goal Setting, Verification And Validation, Reinforcement Learning, Knowledge Transfer, Software Architecture, Machine Learning Methods, Interviewing Skills, Software Design Patterns, Decision Making

    4.8
    Rating, 4.8 out of 5 stars
    ·
    13 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    AI Engineering and Deployment

    Skills you'll gain: Model Deployment, Tensorflow, Generative AI Agents, Recurrent Neural Networks (RNNs), BeeAI, Transfer Learning, Deep Learning, Convolutional Neural Networks, AI Orchestration, Application Deployment, Artificial Neural Networks, Responsible AI, Agentic Workflows, Agentic systems, Data Ethics, Model Training, Scalability, Model Optimization, Applied Machine Learning, Machine Learning

    Advanced · Course · 1 - 4 Weeks

  • P

    Packt

    Mastering Image Segmentation with PyTorch

    Skills you'll gain: Image Analysis, Convolutional Neural Networks, Model Evaluation, Applied Machine Learning, Deep Learning, Model Training, Model Optimization, Computer Vision, Artificial Neural Networks, Machine Learning Methods, Data Preprocessing, Data Processing, Network Architecture

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Systematic ML Optimization

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Model Training, Model Optimization, Configuration Management, Image Analysis, Debugging, Data Presentation, Experimentation, Computer Vision, Data Visualization, Deep Learning, Algorithms, Performance Tuning, Tensorflow, Failure Mode And Effects Analysis, Root Cause Analysis, Cost Management, Machine Learning, Performance Analysis

    Intermediate · Specialization · 3 - 6 Months

  • P

    Packt

    Decoding Large Language Models

    Skills you'll gain: Large Language Modeling, LLM Application, Fine-tuning, Model Deployment, Model Training, Transfer Learning, Generative Model Architectures, Prompt Engineering, Model Optimization, Generative AI, Model Evaluation, Deep Learning, Natural Language Processing, Recurrent Neural Networks (RNNs), AI Security, Responsible AI, Scalability, Machine Learning

    Advanced · Course · 3 - 6 Months

  • E

    EDUCBA

    Mask Detector with Python & TensorFlow: Build & Deploy

    Skills you'll gain: Image Analysis, Cloud Deployment, Tensorflow, Amazon Web Services, Convolutional Neural Networks, Model Deployment, Application Development, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Design, Computer Vision, Model Training, Front-End Web Development, Data Preprocessing, Python Programming

    Mixed · Course · 1 - 4 Weeks

  • S

    SkillUp

    Advanced Healthcare Analytics

    Skills you'll gain: Model Training, Decision Intelligence, Clinical Documentation, Health Informatics, Predictive Modeling, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), LLM Application, Medical Privacy, Large Language Modeling, Logistic Regression, Computer Vision, Embeddings

    Intermediate · Course · 1 - 4 Weeks

  • J

    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, Model Training, Incident Response, Machine Learning Methods, Anomaly Detection, Applied Machine Learning, Continuous Monitoring, AI Security, Cryptographic Protocols, Network Security, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Network Architecture, Unsupervised Learning, Supervised Learning

    Intermediate · Course · 1 - 3 Months

  • N

    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning Methods, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Decision Tree Learning, Autoencoders, Model Optimization

    Intermediate · Course · 1 - 3 Months

  • E

    EDUCBA

    Image Classification with Keras: Build & Optimize

    Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Image Analysis, Model Optimization, Model Training, Fine-tuning, Computer Vision, Deep Learning, Data Preprocessing, Jupyter

    Mixed · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Face Recognition with Keras: Detect & Classify

    Skills you'll gain: Convolutional Neural Networks, Keras (Neural Network Library), Image Analysis, Computer Vision, Data Preprocessing, Deep Learning, Artificial Neural Networks, Embeddings, Model Deployment, Application Deployment, Model Training, Classification Algorithms, Supervised Learning, Model Evaluation

    Mixed · Course · 1 - 4 Weeks

  • P

    Packt

    Generative AI Foundations for Absolute Beginners

    Skills you'll gain: Prompt Engineering, Generative AI, Responsible AI, Generative Model Architectures, Data Ethics, Large Language Modeling, Artificial Intelligence, AI literacy, Machine Learning, Artificial Neural Networks, Deep Learning, Model Training

    Beginner · Course · 1 - 3 Months

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

  • Designing Autonomous AI: University of Washington
  • AI Engineering and Deployment: Packt
  • Mastering Image Segmentation with PyTorch: Packt
  • Systematic ML Optimization: Coursera
  • Decoding Large Language Models: Packt
  • Mask Detector with Python & TensorFlow: Build & Deploy: EDUCBA
  • Advanced Healthcare Analytics: SkillUp
  • Machine Learning and Emerging Technologies in Cybersecurity: Johns Hopkins University
  • Statistical Learning for Engineering Part 2: Northeastern University
  • Image Classification with Keras: Build & Optimize: EDUCBA

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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