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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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    New York Institute of Finance

    Reinforcement Learning for Trading Strategies

    Skills you'll gain: Reinforcement Learning, Recurrent Neural Networks (RNNs), Financial Trading, Deep Learning, Portfolio Management, Machine Learning Methods, Model Training, Artificial Neural Networks, Machine Learning Software, Applied Machine Learning, Markov Model, Model Evaluation

    3.4
    Rating, 3.4 out of 5 stars
    ·
    251 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Saïd Business School, University of Oxford

    AI Essentials

    Skills you'll gain: Responsible AI, AI Enablement, Artificial Neural Networks, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), AI Product Strategy, AI literacy, Generative AI, Generative AI Agents, Machine Learning Methods, Deep Learning, Machine Learning, LLM Application, Convolutional Neural Networks, Supervised Learning, Fraud detection, Reinforcement Learning, Ethical Standards And Conduct, Unsupervised Learning

    4.7
    Rating, 4.7 out of 5 stars
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    188 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    University of Toronto

    Visual Perception for Self-Driving Cars

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

    4.7
    Rating, 4.7 out of 5 stars
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    586 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    Imperial College London

    Getting started with TensorFlow 2

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Model Training, Convolutional Neural Networks, Computer Programming, Model Optimization, Data Validation, Applied Machine Learning, Supervised Learning, Computer Vision, Artificial Neural Networks, Data Persistence

    4.9
    Rating, 4.9 out of 5 stars
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    582 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    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 Training, Algorithms, Pseudocode, Linear Algebra, Network Architecture, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
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    849 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    IBM

    Generative AI and LLMs: Architecture and Data Preparation

    Skills you'll gain: Large Language Modeling, Generative AI, Generative Model Architectures, LLM Application, Generative Adversarial Networks (GANs), Hugging Face, Data Pipelines, PyTorch (Machine Learning Library), Natural Language Processing, Data Preprocessing, Model Training, Recurrent Neural Networks (RNNs)

    4.7
    Rating, 4.7 out of 5 stars
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    432 reviews

    Intermediate · Course · 1 - 4 Weeks

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    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, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
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    700 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    Generative AI Engineering with LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Retrieval-Augmented Generation, Generative AI, PyTorch (Machine Learning Library), Prompt Patterns, Generative AI Agents, Fine-tuning, Vector Databases, LLM Application, Generative Model Architectures, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Tool Calling, Hugging Face, Model Optimization, Reinforcement Learning, Transfer Learning, Data Pipelines

    4.5
    Rating, 4.5 out of 5 stars
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    1K reviews

    Intermediate · Specialization · 3 - 6 Months

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    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, Deep Learning, Model Deployment, Data Ethics, Responsible AI, Model Training, Machine Learning, Computer Programming, Classification Algorithms, Model Evaluation, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
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    165 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    DeepLearning.AI

    PyTorch: Fundamentals

    Skills you'll gain: Convolutional Neural Networks, Data Quality, Data Manipulation, Image Analysis, Data Pipelines, Dataflow, Applied Machine Learning, Data Preprocessing, Model Training, Model Optimization, AI Workflows, Model Evaluation, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
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    93 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    Coursera

    Advanced Model Architectures & Language AI

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Large Language Modeling, Retrieval-Augmented Generation, LLM Application, Data Analysis, Applied Machine Learning, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Model Training, Fine-tuning, Model Deployment, Generative AI, Text Mining, Prompt Engineering, Deep Learning, Random Forest Algorithm, Machine Learning, MLOps (Machine Learning Operations)

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
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    DeepLearning.AI

    Browser-based Models with TensorFlow.js

    Skills you'll gain: Image Analysis, Tensorflow, Transfer Learning, Convolutional Neural Networks, Computer Vision, Fine-tuning, JavaScript Frameworks, JSON, Model Deployment, Browser Compatibility, Javascript, Model Training, 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

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

  • Reinforcement Learning for Trading Strategies: New York Institute of Finance
  • AI Essentials : Saïd Business School, University of Oxford
  • Visual Perception for Self-Driving Cars: University of Toronto
  • Getting started with TensorFlow 2: Imperial College London
  • Prediction and Control with Function Approximation: University of Alberta
  • Generative AI and LLMs: Architecture and Data Preparation: IBM
  • AI Capstone Project with Deep Learning : IBM
  • Generative AI Engineering with LLMs: IBM
  • Computer Vision with Embedded Machine Learning: Edge Impulse
  • PyTorch: Fundamentals: DeepLearning.AI

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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