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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


  • Status: Free Trial
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    DeepLearning.AI

    Sequences, Time Series and Prediction

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Time Series Analysis and Forecasting, Applied Machine Learning, Convolutional Neural Networks, Deep Learning, Predictive Modeling, Data Preprocessing, Artificial Neural Networks, Machine Learning Methods, Forecasting, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    E

    Edge Impulse

    Introduction to Embedded Machine Learning

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Model Training, Data Preprocessing, Embedded Systems, Machine Learning Software, Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Responsible AI, Model Deployment, Convolutional Neural Networks, Predictive Modeling, Feature Engineering, Computer Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    766 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Capstone Project with Deep Learning

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, PyTorch (Machine Learning Library), Computer Vision, Machine Learning, Data Transformation, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    710 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: New
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    T

    Taipei Medical University

    Artificial Intelligence in Bioinformatics

    Skills you'll gain: Bioinformatics, Informatics, Model Training, Machine Learning Algorithms, Supervised Learning, Feature Engineering, Technical Communication, Machine Learning Methods, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Applied Machine Learning, AI Workflows, Random Forest Algorithm, Artificial Intelligence, Predictive Modeling, Molecular Biology, Natural Language Processing, Biology, Data Analysis

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Calculus for Machine Learning and Data Science

    Skills you'll gain: Model Optimization, Machine Learning Methods, Applied Mathematics, Calculus, Applied Machine Learning, Numerical Analysis, Machine Learning Algorithms, Software Visualization, Machine Learning, Python Programming, Advanced Mathematics, Artificial Neural Networks, Deep Learning, Computer Programming, Derivatives

    4.8
    Rating, 4.8 out of 5 stars
    ·
    967 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Model Optimization, Transfer Learning, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Model Training, Logistic Regression, Image Analysis, Applied Machine Learning, Model Evaluation, Computer Vision, Classification Algorithms, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Statistical Methods

    4.6
    Rating, 4.6 out of 5 stars
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    104 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Packt

    Generative AI Fundamentals for Beginners

    Skills you'll gain: Large Language Modeling, Prompt Engineering, Generative AI, Responsible AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Multimodal Prompts, LLM Application, Embeddings, AI literacy, Artificial Neural Networks, AI powered creativity, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Data Ethics, Model Training

    Beginner · Course · 1 - 3 Months

  • Status: New
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    Status: Free Trial
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    IBM

    Generative AI for NLP with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Fine-tuning, Convolutional Neural Networks, Deep Learning, Natural Language Processing, Embeddings, Hugging Face, Computer Vision, Supervised Learning, Classification Algorithms, Data Preprocessing, Predictive Modeling, Machine Learning, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Statistical Methods, Probability & Statistics, Machine Learning Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    2.1K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Browser-based Models with TensorFlow.js

    Skills you'll gain: Image Analysis, Tensorflow, Transfer Learning, Convolutional Neural Networks, Computer Vision, Fine-tuning, Keras (Neural Network Library), JavaScript Frameworks, JSON, Model Deployment, Applied Machine Learning, Javascript, Machine Learning Methods, Model Training, Artificial Neural Networks, Data Processing, Real Time Data, Web Applications, Data Capture, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
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    1K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    Coursera

    Machine Learning Engineer: ML and Deep Learning Models

    Skills you'll gain: Supervised Learning, Model Optimization, PyTorch (Machine Learning Library), Fine-tuning, Generative Model Architectures, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Generative AI, Deep Learning, Model Training, Applied Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Autoencoders, Machine Learning Methods, Machine Learning Software, Machine Learning, MLOps (Machine Learning Operations), Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML)

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    J

    John Wiley & Sons

    Machine Learning For Dummies

    Skills you'll gain: Data Literacy, Model Evaluation, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Responsible AI, Data Ethics, Machine Learning Algorithms, Machine Learning Methods, Machine Learning, Model Training, Applied Machine Learning, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), AI Personalization, Deep Learning, Convolutional Neural Networks, Machine Learning Software, Python Programming, Data Preprocessing, Feature Engineering

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Prediction and Control with Function Approximation

    Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Deep Learning, Feature Engineering, Machine Learning Algorithms, Machine Learning, Supervised Learning, Artificial Neural Networks, Model Optimization, Algorithms, Linear Algebra

    4.8
    Rating, 4.8 out of 5 stars
    ·
    851 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Sequences, Time Series and Prediction: DeepLearning.AI
  • Introduction to Embedded Machine Learning: Edge Impulse
  • AI Capstone Project with Deep Learning: IBM
  • Artificial Intelligence in Bioinformatics: Taipei Medical University
  • Calculus for Machine Learning and Data Science: DeepLearning.AI
  • Deep Learning with PyTorch: IBM
  • Generative AI Fundamentals for Beginners: Packt
  • Generative AI for NLP with PyTorch: IBM
  • Browser-based Models with TensorFlow.js: DeepLearning.AI
  • Machine Learning Engineer: ML and Deep Learning Models: Coursera

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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