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  • Neural Networks

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


  • 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, 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
    ·
    165 reviews

    Intermediate · Course · 1 - 4 Weeks

  • N

    Northeastern University

    Generative AI Part 2

    Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Large Language Modeling, Autoencoders, Model Evaluation, Embeddings, Model Optimization, Natural Language Processing, Model Training, Bayesian Statistics, Statistical Methods, Sampling (Statistics), Probability Distribution

    Intermediate · Course · 1 - 3 Months

  • 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, 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
    ·
    1K reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    How Diffusion Models Work

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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    279 reviews

    Intermediate · Project · Less Than 2 Hours

  • 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, Market Data, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Financial Services, Big Data, Financial Market, Artificial Neural Networks, Automation, Finance, Machine Learning Methods, Financial Analysis, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    423 reviews

    Beginner · Course · 1 - 4 Weeks

  • J

    John Wiley & Sons

    CompTIA DataX Study Guide

    Skills you'll gain: Supervised Learning, Statistical Methods, Exploratory Data Analysis, Data Preprocessing, Model Evaluation, Data Processing, Data Quality, Model Deployment, Data Transformation, Machine Learning Methods, Image Analysis, Statistics, Statistical Machine Learning, Data Analysis, Data Science, MLOps (Machine Learning Operations), Applied Machine Learning, Unsupervised Learning, Computer Vision, Machine Learning Algorithms

    Beginner · Specialization · 1 - 3 Months

  • D

    DeepLearning.AI

    AI For Medical Treatment

    Skills you'll gain: Deep Learning, Statistical Analysis, Clinical Trials, Feature Engineering, Statistical Methods, Treatment Planning, Data Analysis, Precision Medicine, Model Evaluation, Applied Machine Learning, Patient Treatment, Clinical Documentation, Statistical Machine Learning, Machine Learning Methods, AI Personalization, Machine Learning, Medical Science and Research, Text Mining, Health Informatics, Large Language Modeling

    4.7
    Rating, 4.7 out of 5 stars
    ·
    541 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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, Model Training, Vision Transformer (ViT), Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Fine-tuning, Artificial Neural Networks, Machine Learning, Computer Vision, Generative Model Architectures, Graph Theory, Machine Learning Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    90 reviews

    Intermediate · Specialization · 3 - 6 Months

  • L

    LearnQuest

    Machine Learning Models in Science

    Skills you'll gain: Data Preprocessing, Applied Machine Learning, Data Processing, Dimensionality Reduction, Data Cleansing, Machine Learning Algorithms, Data Transformation, Machine Learning Methods, Artificial Neural Networks, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Unsupervised Learning, Supervised Learning, Classification Algorithms, Predictive Modeling, Python Programming

    3.9
    Rating, 3.9 out of 5 stars
    ·
    15 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Object Localization with TensorFlow

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

    4.3
    Rating, 4.3 out of 5 stars
    ·
    117 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • I

    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
    ·
    582 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Tweet Emotion Recognition with TensorFlow

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Model Optimization, Python Programming, Model Training, Natural Language Processing, Data Preprocessing, Applied Machine Learning, Artificial Neural Networks, Text Mining, Machine Learning Algorithms, Deep Learning, Classification Algorithms, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    174 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

  • Computer Vision with Embedded Machine Learning: Edge Impulse
  • Generative AI Part 2: Northeastern University
  • Browser-based Models with TensorFlow.js: DeepLearning.AI
  • How Diffusion Models Work: DeepLearning.AI
  • Innovations in Investment Technology: Artificial Intelligence: University of Michigan
  • CompTIA DataX Study Guide: John Wiley & Sons
  • AI For Medical Treatment: DeepLearning.AI
  • PyTorch Ultimate 2024 - From Basics to Cutting-Edge: Packt
  • Machine Learning Models in Science: LearnQuest
  • Object Localization with TensorFlow: 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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