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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


  • I

    Imperial College London

    Probabilistic Deep Learning with TensorFlow 2

    Skills you'll gain: Generative AI, Tensorflow, Autoencoders, Generative Model Architectures, Bayesian Network, Deep Learning, Image Analysis, Bayesian Statistics, Model Optimization, Probability Distribution, Model Training, Sampling (Statistics), Data Transformation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    109 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Top AI Program
    Top AI Program
    C

    Coursera

    Machine Learning with Scikit-learn, PyTorch & Hugging Face

    Skills you'll gain: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Data Collection, Model Optimization, Convolutional Neural Networks, Model Deployment, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Machine Learning Software

    4.3
    Rating, 4.3 out of 5 stars
    ·
    29 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • 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
    Rating, 4.6 out of 5 stars
    ·
    30 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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
    Rating, 4.5 out of 5 stars
    ·
    54 reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Attention Mechanism

    Skills you'll gain: Model Optimization, Artificial Neural Networks, Machine Learning Methods, Deep Learning

    4.2
    Rating, 4.2 out of 5 stars
    ·
    50 reviews

    Advanced · Course · 1 - 4 Weeks

  • D

    Duke University

    Explainable AI (XAI)

    Skills you'll gain: Responsible AI, Large Language Modeling, Data Ethics, Decision Tree Learning, Regression Analysis, Generative AI, Artificial Intelligence, AI literacy, Decision Intelligence, Applied Machine Learning, Generative Model Architectures, Statistical Modeling, Python Programming, Machine Learning, Model Evaluation, Embeddings, Image Analysis, Machine Learning Methods, Scientific Visualization, Deep Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    86 reviews

    Intermediate · Specialization · 1 - 3 Months

  • C

    Coursera

    Hyperparameter Tuning with Keras Tuner

    Skills you'll gain: Keras (Neural Network Library), Model Optimization, Artificial Neural Networks, Applied Machine Learning, Model Training, Deep Learning, Python Programming, Performance Tuning, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    70 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • J

    Johns Hopkins University

    Applied Machine Learning

    Skills you'll gain: Computer Vision, Model Evaluation, PyTorch (Machine Learning Library), Supervised Learning, Unsupervised Learning, Image Analysis, Applied Machine Learning, Data Preprocessing, Dimensionality Reduction, Machine Learning Methods, Reinforcement Learning, Feature Engineering, Machine Learning Algorithms, Convolutional Neural Networks, Regression Analysis, Data Processing, Model Training, Machine Learning, Deep Learning, Model Optimization

    3.4
    Rating, 3.4 out of 5 stars
    ·
    16 reviews

    Intermediate · Specialization · 3 - 6 Months

  • 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
    Rating, 4.6 out of 5 stars
    ·
    29 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • P

    Packt

    Modern Natural Language Processing

    Skills you'll gain: Recurrent Neural Networks (RNNs), Natural Language Processing, Embeddings, Hugging Face, Deep Learning, Large Language Modeling, Transfer Learning, Convolutional Neural Networks, Artificial Neural Networks, Encryption, Python Programming, Cryptography, Fine-tuning, Machine Learning Methods, Text Mining, Classification Algorithms, Applied Machine Learning, Probability Distribution, Machine Learning Algorithms, Model Training

    Intermediate · Specialization · 3 - 6 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

    4.4
    Rating, 4.4 out of 5 stars
    ·
    9 reviews

    Intermediate · Specialization · 1 - 3 Months

  • B

    Board Infinity

    The Rise of Generative AI

    Skills you'll gain: Generative AI, Generative Adversarial Networks (GANs), Artificial Neural Networks, Generative Model Architectures, OpenAI, Artificial Intelligence, ChatGPT, AI literacy, Large Language Modeling, Deep Learning, Machine Learning, Responsible AI

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
  • Machine Learning with Scikit-learn, PyTorch & Hugging Face: Coursera
  • Interpretable Machine Learning: Duke University
  • Foundations and Core Concepts of PyTorch: Packt
  • Attention Mechanism: Google Cloud
  • Explainable AI (XAI): Duke University
  • Hyperparameter Tuning with Keras Tuner: Coursera
  • Applied Machine Learning: Johns Hopkins University
  • Interpretable machine learning applications: Part 3: Coursera
  • Modern Natural Language Processing: 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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