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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
    Free Trial
    P

    Packt

    Deep Learning with Keras and Practical Applications

    Skills you'll gain: Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), Model Optimization, Data Processing, Transfer Learning, Data Analysis, Model Training, Data Preprocessing, Image Analysis, Deep Learning, Classification Algorithms, Artificial Neural Networks, Computer Vision, Predictive Modeling, Model Evaluation, Machine Learning

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Macquarie University

    Cyber Security: Application of AI

    Skills you'll gain: Cyber Threat Intelligence, Cyber Security Strategy, Intrusion Detection and Prevention, Cyber Attacks, Cybersecurity, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Threat Modeling, Machine Learning Methods, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    AI Deep Learning Projects with TensorFlow

    Skills you'll gain: Tensorflow, Computer Vision, Model Evaluation, Convolutional Neural Networks, Deep Learning, Predictive Modeling, Amazon Elastic Compute Cloud, Transfer Learning, Cloud Deployment, Model Training, Amazon Web Services, Artificial Neural Networks, Keras (Neural Network Library), Image Analysis, Fine-tuning, Model Deployment, Application Deployment, Applied Machine Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML)

    5
    Rating, 5 out of 5 stars
    ·
    13 reviews

    Beginner · Specialization · 1 - 3 Months

  • P

    Packt

    AI & Quantum Computing – Zero to Expert Bootcamp

    Skills you'll gain: Reinforcement Learning, Deep Learning, Model Training, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Tensorflow, Machine Learning, Quantum computing, Machine Learning Algorithms, Artificial Intelligence, Model Optimization, Artificial Neural Networks, Algorithms, Python Programming

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Predicting Extreme Climate Behavior with Machine Learning

    Skills you'll gain: Machine Learning Methods, Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Regression Analysis, Supervised Learning, Data Science, Decision Tree Learning, Statistical Analysis, Classification Algorithms, Predictive Modeling, Artificial Neural Networks, Logistic Regression

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • I

    Illinois Tech

    Predictive Analytics

    Skills you'll gain: Predictive Modeling, Machine Learning Algorithms, Predictive Analytics, Data Cleansing, Unsupervised Learning, Data Transformation, Data Analysis, Statistical Machine Learning, Analytics, Data Science, Data Mining, R (Software), Classification Algorithms, Applied Machine Learning, Supervised Learning, Decision Tree Learning, Data Preprocessing, Machine Learning, Artificial Neural Networks

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Trees, SVM and Unsupervised Learning

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Unsupervised Learning, Decision Tree Learning, Artificial Neural Networks, Machine Learning Methods, Classification Algorithms, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Random Forest Algorithm, Predictive Modeling, Applied Mathematics, Dimensionality Reduction, Statistics

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    Northeastern University

    Generative AI: Foundations and Concepts

    Skills you'll gain: Generative AI, Generative Model Architectures, Convolutional Neural Networks, Artificial Neural Networks, Model Optimization, Deep Learning, Model Training, Bayesian Network, Machine Learning Methods, Mathematical Modeling, Estimation, Model Evaluation, Applied Mathematics, Network Architecture, Probability & Statistics, Probability Distribution

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Pearson

    Programming Generative AI: Unit 1

    Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Artificial Neural Networks, Deep Learning, Model Training

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Modern Natural Language Processing

    Skills you'll gain: Recurrent Neural Networks (RNNs), Natural Language Processing, Embeddings, Hugging Face, Deep Learning, Large Language Modeling, Convolutional Neural Networks, Generative AI, Artificial Neural Networks, Encryption, Python Programming, Cryptography, Machine Learning Methods, Text Mining, Classification Algorithms, Applied Machine Learning, Probability Distribution, Machine Learning Algorithms, Model Training, Algorithms

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Deep Learning and Advanced Techniques

    Skills you'll gain: Model Deployment, Transfer Learning, Keras (Neural Network Library), Fine-tuning, Deep Learning, Applied Machine Learning, Tensorflow, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Artificial Neural Networks, Machine Learning Methods, Model Optimization, Model Training

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    AI Machine Learning with R & Python Projects

    Skills you'll gain: Sampling (Statistics), Matplotlib, Data Analysis, Machine Learning Algorithms, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, Plot (Graphics), Probability & Statistics, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Python Programming, Data Preprocessing, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    21 reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Deep Learning with Keras and Practical Applications: Packt
  • Cyber Security: Application of AI: Macquarie University
  • AI Deep Learning Projects with TensorFlow: EDUCBA
  • AI & Quantum Computing – Zero to Expert Bootcamp: Packt
  • Predicting Extreme Climate Behavior with Machine Learning : University of Colorado Boulder
  • Predictive Analytics: Illinois Tech
  • Trees, SVM and Unsupervised Learning: University of Colorado Boulder
  • Generative AI: Foundations and Concepts: Northeastern University
  • Programming Generative AI: Unit 1: Pearson
  • Modern Natural Language Processing: Packt

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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