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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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    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, Time Series Analysis and Forecasting

    Intermediate · 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, Artificial Intelligence, Applied Machine Learning, Python Programming, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Packt

    RNN Architecture and Sentiment Classification

    Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Text Mining, Artificial Neural Networks, Natural Language Processing, Classification Algorithms, Deep Learning, Applied Machine Learning, Network Architecture, Machine Learning

    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, Artificial Neural Networks, Tensorflow, Dimensionality Reduction, Network Architecture, Data Preprocessing, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

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    Northeastern University

    NLP in Engineering: Concepts & Real-World Applications

    Skills you'll gain: Natural Language Processing, Embeddings, Model Evaluation, Data Ethics, Responsible AI, Deep Learning, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Data Preprocessing, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Supervised Learning, Machine Learning Algorithms, Classification Algorithms

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Packt

    Fundamentals of AI, Machine Learning, and Python Programming

    Skills you'll gain: NumPy, Applied Machine Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Artificial Intelligence, Development Environment, Pandas (Python Package), Deep Learning, Python Programming, Artificial Neural Networks, Data Manipulation, Tensorflow, Regression Analysis, Exploratory Data Analysis, Computer Programming

    Beginner · Course · 3 - 6 Months

  • Status: Free Trial
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    Pearson

    Learning Deep Learning: Unit 1

    Skills you'll gain: Deep Learning, Convolutional Neural Networks, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Keras (Neural Network Library), Artificial Neural Networks, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Tensorflow, Python Programming, Data Preprocessing, Network Architecture, Classification Algorithms, Model Evaluation, Regression Analysis

    Intermediate · Course · 1 - 4 Weeks

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    Northeastern University

    Applied Natural Language Processing in Engineering Part 1

    Skills you'll gain: Natural Language Processing, Model Evaluation, Embeddings, Text Mining, Artificial Intelligence, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Machine Learning, Unsupervised Learning, Dimensionality Reduction

    Mixed · Course · 1 - 3 Months

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    EDUCBA

    Master CNNs with Python: Build, Train & Evaluate Models

    Skills you'll gain: Model Evaluation, Convolutional Neural Networks, Keras (Neural Network Library), Image Analysis, Data Preprocessing, Deep Learning, Computer Vision, Tensorflow, Python Programming, Cloud Computing, Development Environment

    4.7
    Rating, 4.7 out of 5 stars
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    19 reviews

    Mixed · Course · 1 - 4 Weeks

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    Coursera

    Optimize AI Inference Speed & Accuracy

    Skills you'll gain: Model Deployment, Benchmarking, Process Optimization, Cloud Deployment, Model Evaluation, Network Performance Management, Convolutional Neural Networks, Keras (Neural Network Library), Network Model, Project Performance

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    EDUCBA

    Deep Learning with ANN in Python: Build & Optimize

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Deep Learning, Data Preprocessing, Model Evaluation, Customer Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Development Environment, Predictive Analytics, Pandas (Python Package), Data Cleansing

    4.6
    Rating, 4.6 out of 5 stars
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    17 reviews

    Mixed · Course · 1 - 4 Weeks

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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, Classification Algorithms, Network Architecture, Data Processing

    Intermediate · Course · 1 - 4 Weeks

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

  • Learning Deep Learning: Unit 2: Pearson
  • Practical Deep Learning with Python: Edureka
  • RNN Architecture and Sentiment Classification: Packt
  • Réseaux neuronaux convolutifs: DeepLearning.AI
  • NLP in Engineering: Concepts & Real-World Applications: Northeastern University
  • Fundamentals of AI, Machine Learning, and Python Programming: Packt
  • Learning Deep Learning: Unit 1: Pearson
  • Applied Natural Language Processing in Engineering Part 1: Northeastern University
  • Master CNNs with Python: Build, Train & Evaluate Models: EDUCBA
  • Optimize AI Inference Speed & Accuracy: Coursera

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Statistical Classification (17)
Reinforcement Learning (13)
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Linear Algebra (10)
Linear Regression (9)
Numpy (9)

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