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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


  • S

    Simplilearn

    AI & Deep Learning Concepts and Applications

    Skills you'll gain: Reinforcement Learning, Artificial Intelligence, Tensorflow, Artificial Neural Networks, Machine Learning Methods, Machine Learning Algorithms, Deep Learning, Machine Learning, Applied Machine Learning, AI literacy, Data Ethics, Supervised Learning, Responsible AI, Unsupervised Learning, Model Training, Digital Transformation

    4.1
    Rating, 4.1 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Deep Learning - Recurrent Neural Networks with TensorFlow

    Skills you'll gain: Recurrent Neural Networks (RNNs), Embeddings, Time Series Analysis and Forecasting, Tensorflow, Natural Language Processing, Forecasting, Image Analysis, Deep Learning, Text Mining, Artificial Neural Networks, Predictive Analytics, Predictive Modeling, Data Preprocessing, Supervised Learning, Model Training, Data Science, Machine Learning, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • P

    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
    ·
    13 reviews

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Deep Learning: Convolutional Neural Networks with TensorFlow

    Skills you'll gain: Transfer Learning, Keras (Neural Network Library), Fine-tuning, Embeddings, Deep Learning, Image Analysis, Artificial Neural Networks, Computer Vision, Natural Language Processing, Data Preprocessing, Model Optimization, Model Training

    Intermediate · Course · 1 - 4 Weeks

  • I

    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
    ·
    34 reviews

    Beginner · Course · 1 - 3 Months

  • W

    Whizlabs

    NVIDIA: Fundamentals of Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Deep Learning, Generative AI, Transfer Learning, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Tensorflow, Applied Machine Learning, Machine Learning Methods, Classification Algorithms, Model Training, Model Optimization, Machine Learning, Data Processing, Linear Algebra

    4.4
    Rating, 4.4 out of 5 stars
    ·
    13 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Deep Neural Network for Beginners Using Python

    Skills you'll gain: Data Preprocessing, Deep Learning, Data Processing, Artificial Neural Networks, Logistic Regression, Applied Machine Learning, Program Development, Python Programming, Network Architecture, Model Training, Model Optimization, Machine Learning Algorithms, NumPy, Pandas (Python Package), Linear Algebra

    Beginner · Course · 1 - 3 Months

  • W

    Whizlabs

    Fundamentals of Deep Learning

    Skills you'll gain: Deep Learning, Convolutional Neural Networks, Model Training, Image Analysis, Transfer Learning, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Fine-tuning, Machine Learning Methods, Model Optimization, Network Architecture

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Keras Deep Learning & Generative Adversarial Networks (GAN)

    Skills you'll gain: Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Model Deployment, Generative AI, Keras (Neural Network Library), NumPy, Model Optimization, Applied Machine Learning, Data Processing, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Generative Model Architectures, Deep Learning, Transfer Learning, Artificial Intelligence, Machine Learning, Data Science

    Intermediate · Specialization · 3 - 6 Months

  • P

    Packt

    Deep Learning - Artificial Neural Networks with TensorFlow

    Skills you'll gain: Model Optimization, Tensorflow, Artificial Neural Networks, Applied Machine Learning, Deep Learning, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Classification Algorithms, Image Analysis, Convolutional Neural Networks, Model Training, Machine Learning, NumPy, Regression Analysis, Network Architecture

    Intermediate · Course · 1 - 3 Months

  • S

    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
    ·
    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • D

    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
    ·
    2K reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • AI & Deep Learning Concepts and Applications: Simplilearn
  • Deep Learning - Recurrent Neural Networks with TensorFlow: Packt
  • Building and Training Neural Networks with PyTorch: Packt
  • Deep Learning: Convolutional Neural Networks with TensorFlow: Packt
  • Deep Learning: Illinois Tech
  • NVIDIA: Fundamentals of Deep Learning: Whizlabs
  • Deep Neural Network for Beginners Using Python: Packt
  • Fundamentals of Deep Learning: Whizlabs
  • Keras Deep Learning & Generative Adversarial Networks (GAN): Packt
  • Deep Learning - Artificial Neural Networks with TensorFlow: 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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