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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


  • O

    O.P. Jindal Global University

    Machine Learning

    Skills you'll gain: Model Evaluation, Supervised Learning, Model Training, Scikit Learn (Machine Learning Library), Tensorflow, Model Deployment, Applied Machine Learning, Artificial Neural Networks, Python Programming, NumPy, Machine Learning Algorithms, Matplotlib, Deep Learning, Image Analysis, Machine Learning, Model Optimization, Embeddings, Pandas (Python Package), Convolutional Neural Networks, Natural Language Processing

    ★ 3.9 (9) · Beginner · Course · 1 - 3 Months

  • P

    Packt

    Foundations and Core Concepts of PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation, Deep Learning, Model Training, Artificial Intelligence and Machine Learning (AI/ML), Fine-tuning, Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, Artificial Intelligence, Model Optimization, Data Preprocessing, Regression Analysis, Software Installation, System Configuration

    ★ 4.5 (54) · Intermediate · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Data Pipelines with TensorFlow Data Services

    Skills you'll gain: Extract, Transform, Load, Data Pipelines, Data Import/Export, Tensorflow, Data Preprocessing, Data Processing, Feature Engineering, Data Transformation, Data Sharing, Model Training, Data Management, Performance Tuning, Applied Machine Learning

    ★ 4.5 (536) · Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable machine learning applications: Part 3

    Skills you'll gain: Artificial Neural Networks, Tensorflow, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Machine Learning Software, Deep Learning, Machine Learning, Feature Engineering, Risking, Model Evaluation, Mortgage Loans, Consumer Lending

    ★ 4.6 (29) · Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Creating Multi Task Models With Keras

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Model Training, Applied Machine Learning, Convolutional Neural Networks, Deep Learning, Model Optimization, Machine Learning, Computer Vision

    ★ 4.7 (78) · Intermediate · Guided Project · Less Than 2 Hours

  • U

    University of Colorado Boulder

    Introduction to Computer Vision

    Skills you'll gain: Image Analysis, Computer Vision, Deep Learning, Convolutional Neural Networks, Machine Learning Methods, Data Ethics, Microsoft Excel, Generative AI, Excel Formulas, Responsible AI, Data Transformation, Linear Algebra, Feature Engineering, Digital Signal Processing

    ★ 4.5 (36) · Beginner · Course · 1 - 4 Weeks

  • D

    Duke University

    Interpretable Machine Learning

    Skills you'll gain: Responsible AI, Large Language Modeling, Decision Tree Learning, Data Ethics, Regression Analysis, Artificial Intelligence, Machine Learning, Applied Machine Learning, Statistical Modeling, Python Programming, Embeddings, Deep Learning, Machine Learning Algorithms, Artificial Neural Networks

    ★ 4.6 (30) · Intermediate · Course · 1 - 4 Weeks

  • D

    Duke University

    Developing Explainable AI (XAI)

    Skills you'll gain: Responsible AI, Data Ethics, Generative AI, Artificial Intelligence, AI literacy, Decision Intelligence, Machine Learning, Machine Learning Methods, Model Evaluation, Artificial Neural Networks, Information Privacy

    ★ 4.7 (62) · Intermediate · Course · 1 - 4 Weeks

  • U

    University of Illinois Urbana-Champaign

    Health Data Science Foundation

    Skills you'll gain: Health Informatics, Machine Learning Methods, Deep Learning, Machine Learning, Machine Learning Algorithms, Health Care, Artificial Neural Networks, Applied Machine Learning, Supervised Learning, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Healthcare Project Management, Medical Science and Research, Unsupervised Learning, Program Development

    ★ 3.1 (30) · Advanced · Course · 1 - 4 Weeks

  • I

    Illinois Tech

    Data Analytics and Deep Learning

    Skills you'll gain: NoSQL, Machine Learning Algorithms, Big Data, Model Evaluation, Apache Hadoop, Recurrent Neural Networks (RNNs), Deep Learning, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Apache Spark, Statistical Methods, Data Presentation, Generative AI, Convolutional Neural Networks, Transfer Learning, Analysis, Data Infrastructure, Machine Learning

    ★ 4.4 (41) · Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Building and Optimizing AI Models

    Skills you'll gain: Model Optimization, Feature Engineering, Model Training, Applied Machine Learning, Machine Learning Methods, Fine-tuning, Machine Learning Algorithms, Deep Learning, Supervised Learning, Transfer Learning, Model Evaluation, Data Structures, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Machine Learning, Artificial Neural Networks, Convolutional Neural Networks, Network Architecture, Performance Testing

    Intermediate · Course · 1 - 3 Months

  • S

    SkillUp

    Artificial Intelligence for Healthcare

    Skills you'll gain: Generative AI Agents, Health Insurance Portability And Accountability Act (HIPAA) Compliance, Artificial Intelligence, Jupyter, Healthcare Industry Knowledge, Model Training, Healthcare Ethics, Health Disparities, Health Informatics, LLM Application, Machine Learning, Deep Learning, Statistical Machine Learning, AI Integrations, AI Security, Model Evaluation, Predictive Modeling, Data-Driven Decision-Making, Data Processing, Data Analysis

    ★ 4.5 (10) · Intermediate · Specialization · 1 - 3 Months

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

  • Machine Learning: O.P. Jindal Global University
  • Foundations and Core Concepts of PyTorch: Packt
  • Data Pipelines with TensorFlow Data Services: DeepLearning.AI
  • Interpretable machine learning applications: Part 3: Coursera
  • Creating Multi Task Models With Keras: Coursera
  • Introduction to Computer Vision: University of Colorado Boulder
  • Interpretable Machine Learning: Duke University
  • Developing Explainable AI (XAI): Duke University
  • Health Data Science Foundation: University of Illinois Urbana-Champaign
  • Data Analytics and Deep Learning: Illinois Tech

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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