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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


  • D

    DeepLearning.AI

    AI for Medicine

    Skills you'll gain: Model Evaluation, Deep Learning, Statistical Analysis, Clinical Trials, Data Preprocessing, Risk Modeling, Treatment Planning, Data Analysis, Convolutional Neural Networks, Decision Tree Learning, Predictive Modeling, Feature Engineering, Patient Treatment, Image Analysis, Applied Machine Learning, AI Personalization, Diagnostic Radiology, Machine Learning, Random Forest Algorithm, Forecasting

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.4K reviews

    Intermediate · Specialization · 1 - 3 Months

  • P

    Packt

    Sequence Modeling, Transformers, and Transfer Learning

    Skills you'll gain: Recurrent Neural Networks (RNNs), Transfer Learning, Large Language Modeling, Natural Language Processing, Vision Transformer (ViT), Deep Learning, PyTorch (Machine Learning Library), Tensorflow, Artificial Neural Networks, Embeddings, Computer Vision

    Intermediate · Course · 1 - 4 Weeks

  • S

    SkillUp

    Advanced Healthcare Analytics

    Skills you'll gain: Clinical Documentation, Health Informatics, AI Security, Predictive Modeling, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), LLM Application, Medical Privacy, Large Language Modeling, ChatGPT, Logistic Regression, Computer Vision

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    AI Engineer Professional

    Skills you'll gain: MLOps (Machine Learning Operations), Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Containerization, AI Workflows, Model Evaluation, Model Deployment, Generative AI Agents, LangGraph, Keras (Neural Network Library), Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), CrewAI, BeeAI, Image Analysis, Deep Learning, Large Language Modeling, Natural Language Processing, Vision Transformer (ViT), Python Programming

    Advanced · Specialization · 1 - 3 Months

  • I

    Imperial College London

    Mathematics for Machine Learning: Multivariate Calculus

    Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Machine Learning Algorithms, Linear Algebra, Artificial Neural Networks, Mathematical Modeling, Python Programming, Derivatives

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.8K reviews

    Beginner · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    PyTorch: Fundamentals

    Skills you'll gain: Convolutional Neural Networks, Data Quality, Image Analysis, Data Pipelines, Applied Machine Learning, Data Preprocessing, Model Evaluation, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    75 reviews

    Intermediate · Course · 1 - 4 Weeks

  • E

    Edge Impulse

    Computer Vision with Embedded Machine Learning

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Artificial Neural Networks, Embedded Systems, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Deep Learning, Model Deployment, Data Ethics, Data Preprocessing, Machine Learning, Computer Programming, Model Evaluation, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    162 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Toronto

    Visual Perception for Self-Driving Cars

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Deep Learning, Artificial Neural Networks, Robotics, Machine Learning Algorithms, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
    ·
    584 reviews

    Advanced · Course · 1 - 3 Months

  • U

    University of Alberta

    Prediction and Control with Function Approximation

    Skills you'll gain: Reinforcement Learning, Deep Learning, Feature Engineering, Machine Learning Algorithms, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    846 reviews

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    AI Demystified - A Simple Guide for Newcomers

    Skills you'll gain: AI Security, Supervised Learning, Large Language Modeling, Generative AI, Reinforcement Learning

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Statistical Inference & Predictive Modeling Foundations

    Skills you'll gain: Descriptive Statistics, A/B Testing, Classification And Regression Tree (CART), Dashboard, Model Evaluation, Model Deployment, Data-Driven Decision-Making, Risk Analysis, Histogram, Statistical Inference, Strategic Decision-Making, Data Presentation, Predictive Modeling, Statistical Hypothesis Testing, Risk Mitigation, Regression Analysis, Data Visualization, MLOps (Machine Learning Operations), Decision Tree Learning, Keras (Neural Network Library)

    Intermediate · Specialization · 3 - 6 Months

  • I

    IBM

    Gen AI Foundational Models for NLP & Language Understanding

    Skills you'll gain: PyTorch (Machine Learning Library), Large Language Modeling, Embeddings, Generative AI, Natural Language Processing, Transfer Learning, Recurrent Neural Networks (RNNs), Data Ethics, Artificial Neural Networks, Classification Algorithms, Model Evaluation, Data Preprocessing, Feature Engineering

    4.4
    Rating, 4.4 out of 5 stars
    ·
    183 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • AI for Medicine: DeepLearning.AI
  • Sequence Modeling, Transformers, and Transfer Learning: Packt
  • Advanced Healthcare Analytics: SkillUp
  • AI Engineer Professional: Packt
  • Mathematics for Machine Learning: Multivariate Calculus: Imperial College London
  • PyTorch: Fundamentals: DeepLearning.AI
  • Computer Vision with Embedded Machine Learning: Edge Impulse
  • Visual Perception for Self-Driving Cars: University of Toronto
  • Prediction and Control with Function Approximation: University of Alberta
  • AI Demystified - A Simple Guide for Newcomers: 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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