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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


  • S

    Saïd Business School, University of Oxford

    AI Essentials

    Skills you'll gain: Responsible AI, Artificial Neural Networks, Artificial Intelligence, AI Product Strategy, Generative AI, Deep Learning, Machine Learning, Convolutional Neural Networks, Supervised Learning, Reinforcement Learning, Ethical Standards And Conduct, Unsupervised Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    147 reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Michigan

    Innovations in Investment Technology: Artificial Intelligence

    Skills you'll gain: Investment Management, Wealth Management, Asset Management, Investments, FinTech, Financial Trading, Portfolio Management, Artificial Intelligence, Big Data, Financial Market, Artificial Neural Networks, Automation, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    420 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Basic Image Classification with TensorFlow

    Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Tensorflow, Image Analysis, Artificial Neural Networks, Deep Learning, Computer Vision, Machine Learning, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    847 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • 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

  • G

    Google Cloud

    Natural Language Processing on Google Cloud

    Skills you'll gain: Natural Language Processing, Transfer Learning, Tensorflow, Google Cloud Platform, Recurrent Neural Networks (RNNs), Embeddings, Deep Learning, AI Workflows, Artificial Neural Networks, Feature Engineering, Model Evaluation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    540 reviews

    Advanced · Course · 1 - 3 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

  • N

    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, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Markov Model, Portfolio Risk, Financial Market, Time Series Analysis and Forecasting, Risk Management

    3.5
    Rating, 3.5 out of 5 stars
    ·
    248 reviews

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Generative AI Engineering with LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Retrieval-Augmented Generation, Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Generative AI Agents, Vector Databases, LLM Application, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Hugging Face, Transfer Learning, Data Pipelines, Recurrent Neural Networks (RNNs), Data Ethics, Data Preprocessing, Artificial Intelligence, Text Mining

    4.5
    Rating, 4.5 out of 5 stars
    ·
    934 reviews

    Intermediate · Specialization · 3 - 6 Months

  • I

    Imperial College London

    Getting started with TensorFlow 2

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Convolutional Neural Networks, Transfer Learning, Supervised Learning, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    582 reviews

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    PyTorch Ultimate 2024 - From Basics to Cutting-Edge

    Skills you'll gain: PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Model Evaluation, Convolutional Neural Networks, Natural Language Processing, Deep Learning, Generative Adversarial Networks (GANs), Classification Algorithms, Transfer Learning, Applied Machine Learning, Vision Transformer (ViT), Image Analysis, Machine Learning, Computer Vision, Artificial Neural Networks, Artificial Intelligence, Unsupervised Learning, Python Programming, Embeddings, Data Preprocessing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    79 reviews

    Intermediate · Specialization · 3 - 6 Months

  • I

    IBM

    Generative AI and LLMs: Architecture and Data Preparation

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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    409 reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    How Diffusion Models Work

    Skills you'll gain: Generative AI, Generative Model Architectures, Jupyter, Sampling (Statistics), Artificial Neural Networks, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    279 reviews

    Intermediate · Project · Less Than 2 Hours

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

  • AI Essentials : Saïd Business School, University of Oxford
  • Innovations in Investment Technology: Artificial Intelligence: University of Michigan
  • Basic Image Classification with TensorFlow: Coursera
  • Statistical Inference & Predictive Modeling Foundations: Coursera
  • Natural Language Processing on Google Cloud: Google Cloud
  • Gen AI Foundational Models for NLP & Language Understanding: IBM
  • Reinforcement Learning for Trading Strategies: New York Institute of Finance
  • Generative AI Engineering with LLMs: IBM
  • Getting started with TensorFlow 2: Imperial College London
  • PyTorch Ultimate 2024 - From Basics to Cutting-Edge: 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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