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  1. Categories
  2. Neural Networks

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


  • C

    Coursera

    Deep Learning with PyTorch

    Skills you'll gain: Recurrent Neural Networks (RNNs), Model Optimization, Convolutional Neural Networks, Transfer Learning, Model Training, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • S

    Simplilearn

    AI ML with Deep Learning and Supervised Models

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

    3.9 stars, 15 reviews, Beginner, Specialization, 1 - 3 Months

    ★ 3.9 (15) · Beginner · Specialization · 1 - 3 Months

    Status: Free trial
    Free trial
  • M

    Microsoft

    Core Neural Architectures & Generative Models

    Skills you'll gain: Generative Model Architectures, Recurrent Neural Networks (RNNs), Fine-tuning, Generative AI, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Vision Transformer (ViT), PyTorch (Machine Learning Library), Artificial Neural Networks, Convolutional Neural Networks, AI Workflows, Hugging Face, Deep Learning, Autoencoders, Transfer Learning, Databricks, Machine Learning, Computer Science, Algorithms, Data Science

    Advanced · Course · 1 - 3 Months

    Category: New
    New
    Status: Free trial
    Free trial
  • P

    Packt

    Modern Deep Learning Foundations

    Skills you'll gain: Model Deployment, Deep Learning, Model Optimization, Model Training, Convolutional Neural Networks, PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Computer Vision, Recurrent Neural Networks (RNNs), Model Evaluation, Artificial Neural Networks, Natural Language Processing

    Intermediate · Course · 1 - 3 Months

  • S

    Simplilearn

    Introduction to CNN Training

    Skills you'll gain: Convolutional Neural Networks, Image Analysis, Computer Vision, Deep Learning, Model Training

    Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
  • I

    Illinois Tech

    Deep Learning

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

    4.5 stars, 37 reviews, Beginner, Course, 1 - 3 Months

    ★ 4.5 (37) · Beginner · Course · 1 - 3 Months

    Status: Free trial
    Free trial
    Category: Build toward a degree
    Build toward a degree
  • 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, Keras (Neural Network Library), NumPy, Model Optimization, Applied Machine Learning, Transfer Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Model Training, Generative Model Architectures, Deep Learning, Artificial Neural Networks, Artificial Intelligence, Machine Learning, Data Science

    Intermediate · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • P

    Packt

    Deep Learning, NLP, and AI Applications

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Natural Language Processing, Model Optimization, Deep Learning, Fine-tuning, Artificial Neural Networks, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Computer Vision, Model Training

    Advanced · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • S

    Simplilearn

    Attention Mechanisms and Transformer Models Course

    Skills you'll gain: Generative Model Architectures, Generative AI, Artificial Intelligence, Artificial Neural Networks, Deep Learning, Natural Language Processing

    3.7 stars, 7 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 3.7 (7) · Beginner · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • S

    Simplilearn

    AI & Deep Learning Concepts and Applications

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Artificial Intelligence, Tensorflow, Artificial Neural Networks, Machine Learning Methods, Deep Learning, Machine Learning, Applied Machine Learning, Supervised Learning, Responsible AI, Unsupervised Learning

    4.2 stars, 12 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.2 (12) · Beginner · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • I

    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, Unsupervised Learning, Tensorflow, Generative Adversarial Networks (GANs), Generative Model Architectures, Transfer Learning, Model Training, Time Series Analysis and Forecasting

    4.4 stars, 1K reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.4 (1K) · Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • 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, Reinforcement Learning

    4.3 stars, 150 reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.3 (150) · Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
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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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