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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


  • Status: Free Trial
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    Google Cloud

    Computer Vision Fundamentals with Google Cloud

    Skills you'll gain: Convolutional Neural Networks, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Applied Machine Learning, Model Evaluation, Artificial Neural Networks, Deep Learning, Google Cloud Platform, Data Preprocessing, Feature Engineering, Classification Algorithms, Cloud API

    4.6
    Rating, 4.6 out of 5 stars
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    548 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud

    Skills you'll gain: Model Deployment, Tensorflow, Keras (Neural Network Library), Cloud Deployment, Google Cloud Platform, Data Pipelines, MLOps (Machine Learning Operations), Deep Learning, Data Preprocessing, Model Evaluation, Artificial Neural Networks, Feature Engineering, Machine Learning, Python Programming, Data Transformation

    4.4
    Rating, 4.4 out of 5 stars
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    2.8K reviews

    Intermediate · Course · 1 - 3 Months

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    Duke University

    Medical Neuroscience

    Skills you'll gain: Neurology, Physiology, Anatomy, Cell Biology, Psychology, Pathology, Molecular Biology

    4.9
    Rating, 4.9 out of 5 stars
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    3.1K reviews

    Advanced · Course · 3 - 6 Months

  • Status: New
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    Pragmatic AI Labs

    Machine Learning with Databricks and MLflow

    Skills you'll gain: MLOps (Machine Learning Operations), Databricks, Apache Spark, Model Evaluation, Hugging Face, Data Architecture, Recurrent Neural Networks (RNNs), LLM Application, Data Science, Data Mining, Mathematical Modeling, Scala Programming, Continuous Monitoring, Rust (Programming Language), Lean Six Sigma, Statistical Inference, Artificial Intelligence, Functional Testing, Exploratory Data Analysis, Programming Principles

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    Introduction to Cybersecurity Tools & Cyberattacks

    Skills you'll gain: Malware Protection, Identity and Access Management, Incident Response, Cybersecurity, Network Security, Threat Detection, Cyber Attacks, Authentications, Security Awareness, Digital Forensics, Security Controls, Infrastructure Security, Multi-Factor Authentication, Human Factors (Security)

    4.6
    Rating, 4.6 out of 5 stars
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    17K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    DeepLearning.AI

    Natural Language Processing with Attention Models

    Skills you'll gain: Natural Language Processing, Transfer Learning, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Applied Machine Learning, Keras (Neural Network Library), Embeddings, Model Evaluation

    4.4
    Rating, 4.4 out of 5 stars
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    1.1K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    DeepLearning.AI

    TensorFlow: Advanced Techniques

    Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Convolutional Neural Networks, Generative Model Architectures, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Classification Algorithms, Model Evaluation, Distributed Computing, Visualization (Computer Graphics), Performance Tuning, Network Architecture

    4.8
    Rating, 4.8 out of 5 stars
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    1.7K reviews

    Intermediate · Specialization · 3 - 6 Months

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    DeepLearning.AI

    Custom Models, Layers, and Loss Functions with TensorFlow

    Skills you'll gain: Tensorflow, Transfer Learning, Deep Learning, Keras (Neural Network Library), Convolutional Neural Networks, Artificial Neural Networks, Model Evaluation

    4.9
    Rating, 4.9 out of 5 stars
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    1.1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    Stanford University

    Game Theory

    Skills you'll gain: Game Theory, Mathematical Modeling, Graph Theory, Bayesian Statistics, Behavioral Economics, Probability, Economics, Problem Solving, Algorithms, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
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    4.9K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    EDUCBA

    Analyze and Defend Against GenAI Social Engineering Attacks

    Skills you'll gain: Cybersecurity, Threat Modeling, AI Enablement, AI Personalization, Artificial Intelligence, Incident Response, Deep Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Packt

    Networking, Mobile Devices, Virtualization & Security

    Skills you'll gain: Wireless Networks, Network Administration, Virtual Machines, Virtualization, Network Troubleshooting, Network Security, Cloud Computing, Computer Networking, Virtual Private Networks (VPN), Mobile Security, Firewall, Hardware Troubleshooting, Android (Operating System), Apple iOS, Systems Administration, Multi-Factor Authentication, Peripheral Devices

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    Stanford University

    Algorithms

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Theoretical Computer Science, Network Model, Programming Principles, Social Network Analysis, Network Analysis, Computational Thinking, Analysis, Computer Science, Network Routing, Probability, Pseudocode, Computational Logic, Operations Research

    4.8
    Rating, 4.8 out of 5 stars
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    6K reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Computer Vision Fundamentals with Google Cloud: Google Cloud
  • Build, Train and Deploy ML Models with Keras on Google Cloud: Google Cloud
  • Medical Neuroscience: Duke University
  • Machine Learning with Databricks and MLflow: Pragmatic AI Labs
  • Introduction to Cybersecurity Tools & Cyberattacks: IBM
  • Natural Language Processing with Attention Models: DeepLearning.AI
  • TensorFlow: Advanced Techniques: DeepLearning.AI
  • Custom Models, Layers, and Loss Functions with TensorFlow: DeepLearning.AI
  • Game Theory: Stanford University
  • Analyze and Defend Against GenAI Social Engineering Attacks: 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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