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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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    O

    O.P. Jindal Global University

    Machine Learning

    Skills you'll gain: Supervised Learning, Tensorflow, Image Analysis, Applied Machine Learning, Artificial Neural Networks, Scikit Learn (Machine Learning Library), Python Programming, Convolutional Neural Networks, Machine Learning, Deep Learning, Unstructured Data, NumPy, Classification Algorithms, Matplotlib, Natural Language Processing, Text Mining, Pandas (Python Package), Regression Analysis, Model Evaluation

    Build toward a degree

    3.6
    Rating, 3.6 out of 5 stars
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    7 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of California San Diego

    Teaching Impacts of Technology: Data Collection, Use, and Privacy

    Skills you'll gain: Data Ethics, Big Data, Cybersecurity, Pedagogy, Data Security, Cryptography, Information Privacy, Encryption, Digital pedagogy, Responsible AI, AI Personalization, Computer Science, Information Technology, Web Applications, Web Servers, Machine Learning, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
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    10 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    Packt

    R Ultimate 2024 - R for Data Science and Machine Learning

    Skills you'll gain: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Ggplot2, Data Manipulation, Convolutional Neural Networks, Plotly, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Dimensionality Reduction

    Beginner · Specialization · 3 - 6 Months

  • Status: New
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    Status: Free Trial
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    Packt

    Modern Natural Language Processing

    Skills you'll gain: Recurrent Neural Networks (RNNs), Natural Language Processing, Embeddings, Hugging Face, Deep Learning, Large Language Modeling, Transfer Learning, Convolutional Neural Networks, Text Mining, Semantic Web, Tensorflow, PyTorch (Machine Learning Library), Classification Algorithms, Artificial Neural Networks, Python Programming, NumPy, Model Evaluation, Data Preprocessing, Applied Machine Learning, Unsupervised Learning

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    C

    Coursera

    Understanding Large Language Models in Business

    Skills you'll gain: Large Language Modeling, LLM Application, OpenAI API, Trend Analysis, Real Time Data, Analytics, Business Marketing, Program Development, Business Strategy, Generative AI, ChatGPT, Technology Roadmaps, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks

    4.5
    Rating, 4.5 out of 5 stars
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    13 reviews

    Beginner · Course · 1 - 4 Weeks

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    U

    University of Washington

    Designing Autonomous AI

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

    4.8
    Rating, 4.8 out of 5 stars
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    13 reviews

    Beginner · Course · 1 - 4 Weeks

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    N

    Northeastern University

    Generative AI: Foundations and Concepts

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

    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

  • Status: Free Trial
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    Packt

    Advanced PyTorch Techniques and Applications

    Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Generative Adversarial Networks (GANs), Transfer Learning, Vision Transformer (ViT), Deep Learning, Unsupervised Learning, Embeddings, Convolutional Neural Networks, Applied Machine Learning, Supervised Learning, Model Evaluation, Model Deployment, Flask (Web Framework)

    4.6
    Rating, 4.6 out of 5 stars
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    16 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Pearson

    Programming Generative AI: Unit 1

    Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Multimodal Prompts, Artificial Neural Networks, Deep Learning, Large Language Modeling, Tensorflow, Convolutional Neural Networks

    Intermediate · Course · 1 - 4 Weeks

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    Simplilearn

    Introduction to Long Short Term Memory (LSTM) Training

    Skills you'll gain: Recurrent Neural Networks (RNNs), Time Series Analysis and Forecasting, Keras (Neural Network Library), PyTorch (Machine Learning Library), Natural Language Processing, Tensorflow, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Data Preprocessing

    2.5
    Rating, 2.5 out of 5 stars
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    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    Pearson

    Programming Generative AI

    Skills you'll gain: Generative AI, Large Language Modeling, PyTorch (Machine Learning Library), Generative Model Architectures, Multimodal Prompts, Image Analysis, Model Evaluation, Autoencoders, Hugging Face, Computer Vision, Convolutional Neural Networks, Artificial Neural Networks, LLM Application, Natural Language Processing, Deep Learning, Embeddings, Tensorflow, Transfer Learning, Performance Tuning

    Intermediate · Specialization · 1 - 4 Weeks

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

  • Machine Learning: O.P. Jindal Global University
  • Teaching Impacts of Technology: Data Collection, Use, and Privacy: University of California San Diego
  • R Ultimate 2024 - R for Data Science and Machine Learning: Packt
  • Modern Natural Language Processing: Packt
  • Understanding Large Language Models in Business: Coursera
  • Designing Autonomous AI: University of Washington
  • Generative AI: Foundations and Concepts: Northeastern University
  • Computer Vision: YOLO Custom Object Detection with Colab GPU: Packt
  • Advanced PyTorch Techniques and Applications: Packt
  • Programming Generative AI: Unit 1: Pearson

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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