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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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    Simplilearn

    AI ML with Deep Learning and Supervised Models

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Reinforcement Learning, Artificial Intelligence, Classification Algorithms, Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Machine Learning Methods, Deep Learning, Predictive Modeling, Machine Learning, Decision Tree Learning, Regression Analysis

    4
    Rating, 4 out of 5 stars
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    12 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
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    EDUCBA

    Deep Learning with TensorFlow: Build Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Tensorflow, Deep Learning, Transfer Learning, Artificial Neural Networks, Image Analysis, Fine-tuning, Model Optimization, Model Training, Computer Vision, Applied Machine Learning, Classification Algorithms, Network Architecture, Data Processing

    5
    Rating, 5 out of 5 stars
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    6 reviews

    Mixed · Course · 1 - 4 Weeks

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    Simplilearn

    Deep Learning Frameworks and Neural Networks Simplified

    Skills you'll gain: Recurrent Neural Networks (RNNs), Model Deployment, Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks, Convolutional Neural Networks, Application Frameworks, Model Training, Artificial Intelligence, Data Preprocessing

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Packt

    Building and Training Neural Networks with PyTorch

    Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Classification Algorithms, Transfer Learning, Image Analysis, Model Evaluation, Model Training, Artificial Neural Networks, Fine-tuning, Computer Vision, Model Optimization, Data Preprocessing, Data Processing

    4.8
    Rating, 4.8 out of 5 stars
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    13 reviews

    Intermediate · Course · 1 - 3 Months

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    Simplilearn

    Attention Mechanisms and Transformer Models Course

    Skills you'll gain: Generative Model Architectures, Generative AI, Large Language Modeling, Vision Transformer (ViT), Artificial Neural Networks, Deep Learning, Recurrent Neural Networks (RNNs), Natural Language Processing

    3.7
    Rating, 3.7 out of 5 stars
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    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Illinois Tech

    Deep Learning

    Skills you'll gain: Recurrent Neural Networks (RNNs), Deep Learning, Generative AI, Convolutional Neural Networks, Transfer Learning, Model Optimization, Image Analysis, Artificial Neural Networks, Generative Model Architectures, Generative Adversarial Networks (GANs), Fine-tuning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Network Architecture, Computer Vision, Network Model, Natural Language Processing, Model Training

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
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    34 reviews

    Beginner · Course · 1 - 3 Months

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    Simplilearn

    Introduction Course to Autoencoders, VAEs, and GANs

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Autoencoders, Generative Model Architectures, Deep Learning, Tensorflow, Unsupervised Learning, Model Training, Dimensionality Reduction

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    I

    Intel

    An Introduction to Practical Deep Learning

    Skills you'll gain: Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Transfer Learning, Model Optimization, Recurrent Neural Networks (RNNs), Fine-tuning, Image Analysis, Generative Adversarial Networks (GANs), Model Training, Computer Vision, Natural Language Processing, Scalability, Reinforcement Learning, Distributed Computing

    4.3
    Rating, 4.3 out of 5 stars
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    150 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    DeepLearning.AI

    Build Basic Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Convolutional Neural Networks, Responsible AI, Data Ethics, Model Training, Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
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    2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    Deep Learning with Keras and Tensorflow

    Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Reinforcement Learning, Deep Learning, Model Optimization, Autoencoders, Generative AI, Unsupervised Learning, Tensorflow, Generative Adversarial Networks (GANs), Generative Model Architectures, Transfer Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Time Series Analysis and Forecasting

    4.4
    Rating, 4.4 out of 5 stars
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    1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
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    DeepLearning.AI

    컨볼루션 신경망

    Skills you'll gain: Convolutional Neural Networks, Computer Vision, Image Analysis, Keras (Neural Network Library), Artificial Neural Networks, Tensorflow, Deep Learning, Transfer Learning, Applied Machine Learning, Fine-tuning, Classification Algorithms, Network Architecture, Embeddings, Model Training

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    DeepLearning.AI

    Apply Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Image Analysis, Convolutional Neural Networks, Responsible AI, Data Ethics, Model Training, Information Privacy, Data Synthesis

    4.8
    Rating, 4.8 out of 5 stars
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    548 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • AI ML with Deep Learning and Supervised Models: Simplilearn
  • Deep Learning with TensorFlow: Build Neural Networks: EDUCBA
  • Deep Learning Frameworks and Neural Networks Simplified: Simplilearn
  • Building and Training Neural Networks with PyTorch: Packt
  • Attention Mechanisms and Transformer Models Course: Simplilearn
  • Deep Learning: Illinois Tech
  • Introduction Course to Autoencoders, VAEs, and GANs: Simplilearn
  • An Introduction to Practical Deep Learning: Intel
  • Build Basic Generative Adversarial Networks (GANs): DeepLearning.AI
  • Deep Learning with Keras and Tensorflow: IBM

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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