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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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    DeepLearning.AI

    Réseaux neuronaux et Deep Learning

    Skills you'll gain: Deep Learning, Supervised Learning, Model Optimization, Artificial Neural Networks, Convolutional Neural Networks, Model Training, Artificial Intelligence, Computer Vision, Recurrent Neural Networks (RNNs), Performance Tuning, NumPy, Jupyter, Classification Algorithms

    4.9
    Rating, 4.9 out of 5 stars
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    18 reviews

    Intermediate · Course · 1 - 4 Weeks

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    DeepLearning.AI

    Réseaux neuronaux convolutifs

    Skills you'll gain: Convolutional Neural Networks, Computer Vision, Keras (Neural Network Library), Image Analysis, Deep Learning, Transfer Learning, Tensorflow, Dimensionality Reduction, Model Training, Network Architecture

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Pearson

    Learning Deep Learning: Unit 2

    Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Transfer Learning, Natural Language Processing, Embeddings, Image Analysis, Deep Learning, Computer Vision, Artificial Neural Networks, Model Training, Time Series Analysis and Forecasting, Generative Model Architectures, Network Architecture

    Intermediate · Course · 1 - 4 Weeks

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    DeepLearning.AI

    Améliorez les réseaux neuronaux profonds

    Skills you'll gain: Model Optimization, Deep Learning, Tensorflow, Model Evaluation, Model Training, Artificial Neural Networks, Performance Tuning, Test Data, Machine Learning, Debugging, Algorithms

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Edureka

    Practical Deep Learning with Python

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Model Optimization, Artificial Intelligence, Applied Machine Learning, Python Programming, Model Training, Machine Learning Methods, Fine-tuning, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
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    Coursera

    Deep Learning with PyTorch : Generative Adversarial Network

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Deep Learning, Convolutional Neural Networks, Model Training, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
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    100 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    DeepLearning.AI

    Build Better Generative Adversarial Networks (GANs)

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

    4.7
    Rating, 4.7 out of 5 stars
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    685 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Advanced Machine Learning and Deep Learning

    Skills you'll gain: Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Fine-tuning, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Tensorflow, Predictive Modeling, Model Optimization, Model Training, Interactive Data Visualization, Time Series Analysis and Forecasting, Model Evaluation

    Advanced · Course · 1 - 3 Months

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    Whizlabs

    NVIDIA: Fundamentals of NLP and Transformers

    Skills you'll gain: Natural Language Processing, Recurrent Neural Networks (RNNs), Generative AI, Large Language Modeling, Token Optimization, Embeddings, Generative Model Architectures, Data Pipelines, Data Preprocessing, Artificial Neural Networks, Unstructured Data, Machine Learning Methods, Machine Learning, Model Evaluation

    4.8
    Rating, 4.8 out of 5 stars
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    8 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Advanced RNN Concepts and Projects

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Artificial Neural Networks, Deep Learning, Predictive Modeling, Time Series Analysis and Forecasting, Natural Language Processing, Model Training, Model Evaluation, Data Preprocessing

    Advanced · Course · 1 - 3 Months

  • 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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    Yonsei University

    Deep Learning for Business

    Skills you'll gain: Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Artificial Neural Networks, Convolutional Neural Networks, Machine Learning Methods, Recurrent Neural Networks (RNNs), Technology Strategies, Business Strategy, Machine Learning Software, Business Modeling, Business Strategies, Artificial Intelligence, Machine Learning, Company, Product, and Service Knowledge, Unsupervised Learning

    4.4
    Rating, 4.4 out of 5 stars
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    687 reviews

    Beginner · Course · 1 - 3 Months

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

  • Réseaux neuronaux et Deep Learning: DeepLearning.AI
  • Réseaux neuronaux convolutifs: DeepLearning.AI
  • Learning Deep Learning: Unit 2: Pearson
  • Améliorez les réseaux neuronaux profonds: DeepLearning.AI
  • Practical Deep Learning with Python: Edureka
  • Deep Learning with PyTorch : Generative Adversarial Network: Coursera
  • Build Better Generative Adversarial Networks (GANs): DeepLearning.AI
  • Advanced Machine Learning and Deep Learning: Packt
  • NVIDIA: Fundamentals of NLP and Transformers: Whizlabs
  • Advanced RNN Concepts and Projects: 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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