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Neural Network Courses

Neural network courses can help you learn the principles of deep learning, backpropagation, and model optimization, along with practical applications like image recognition and natural language processing. You can build skills in data preprocessing, hyperparameter tuning, and evaluating model performance. Many courses introduce tools such as TensorFlow and PyTorch, that support implementing neural networks and experimenting with various architectures to solve complex problems in artificial intelligence and AI.


Popular Neural Network Courses and Certifications


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    DeepLearning.AI

    머신 러닝 프로젝트 구조화

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Data-Driven Decision-Making, Technical Management, Machine Learning, Applied Machine Learning, Deep Learning, Debugging, Supervised Learning, Analysis, Algorithms

    Beginner · Course · 1 - 4 Weeks

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    Northeastern University

    Practical AI for Professionals

    Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Business Intelligence, Business Strategy, Machine Learning, Data-Driven Decision-Making, Computer Vision, Unstructured Data, Predictive Modeling, Deep Learning, Natural Language Processing

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Predict Ad Clicks Using Logistic Regression and XG-Boost

    Skills you'll gain: Scikit Learn (Machine Learning Library), Data Visualization, Feature Engineering, Customer Analysis, Data Presentation, Predictive Modeling, Predictive Analytics, Marketing Analytics, Applied Machine Learning, Online Advertising, Data Cleansing, Data Manipulation, Advertising, Classification And Regression Tree (CART), Digital Advertising, Machine Learning Methods, Performance Analysis, Machine Learning, Python Programming, Deep Learning

    4.6
    Rating, 4.6 out of 5 stars
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    10 reviews

    Beginner · Guided Project · Less Than 2 Hours

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    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud - Italiano

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Processing, Data Pipelines, Data Cleansing, Data Transformation, Deep Learning, Artificial Neural Networks, Application Deployment, Scalability, Machine Learning

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Feature Engineering - 한국어

    Skills you'll gain: Feature Engineering, Tensorflow, Data Processing, Data Pipelines, MLOps (Machine Learning Operations), Data Store, Keras (Neural Network Library), Data Transformation, Machine Learning, Scalability

    Intermediate · Course · 1 - 3 Months

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    Coursera

    LLM Engineering with RAG: Optimizing AI Solutions

    Skills you'll gain: Prompt Engineering, LLM Application, LangChain, Large Language Modeling, OpenAI, Scalability, Generative AI, Application Deployment, Data Integration, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Data Science, Machine Learning, API Design

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
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    Coursera

    Tidymodels in R: Building tidy machine learning models

    Skills you'll gain: Tidyverse (R Package), Data Visualization, Clinical Data Management, Data Manipulation, Predictive Modeling, R Programming, Data Processing, Data Cleansing, Predictive Analytics, Data Pipelines, Feature Engineering, Applied Machine Learning, Machine Learning, Statistical Modeling, Performance Tuning, Hospital Medicine

    Intermediate · Guided Project · Less Than 2 Hours

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    Whizlabs

    Exam Prep AI-900: Microsoft Certified Azure AI Fundamentals

    Skills you'll gain: Responsible AI, Generative AI, Microsoft Azure, Image Analysis, Computer Vision, OpenAI, Artificial Intelligence, Natural Language Processing, Machine Learning, Deep Learning, Text Mining, Data Science

    Beginner · Course · 1 - 3 Months

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    EDUCBA

    Mastering Recommendation Systems with Python

    Skills you'll gain: Feature Engineering, AI Personalization, Data Processing, Applied Machine Learning, Data Manipulation, Data Science, Machine Learning, Data Cleansing, Scalability, Machine Learning Algorithms, Python Programming, Data Transformation, Pandas (Python Package), Predictive Analytics, Predictive Modeling, Text Mining, Development Environment, Unstructured Data, Scikit Learn (Machine Learning Library), Data Integration

    4.7
    Rating, 4.7 out of 5 stars
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    58 reviews

    Intermediate · Specialization · 1 - 3 Months

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    Sungkyunkwan University

    Machine Learning for Smart Beta

    Skills you'll gain: Data Processing, Portfolio Management, Investment Management, Classification And Regression Tree (CART), Statistical Machine Learning, Investments, Machine Learning Algorithms, Applied Machine Learning, R Programming, Feature Engineering, Machine Learning, Financial Modeling, Predictive Modeling, Decision Tree Learning, Random Forest Algorithm, Asset Management

    Intermediate · Course · 1 - 4 Weeks

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    Northeastern University

    Machine Learning with Small Data Part 1

    Skills you'll gain: Small Data, Deep Learning, Applied Machine Learning, PyTorch (Machine Learning Library), Unsupervised Learning, Tensorflow, Machine Learning, Generative AI, Data Synthesis, Supervised Learning, Artificial Intelligence, Computer Vision

    Mixed · Course · 1 - 3 Months

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    Sungkyunkwan University

    Using R for Regression and Machine Learning in Investment

    Skills you'll gain: Regression Analysis, Predictive Modeling, Investment Management, Risk Analysis, Investments, R Programming, Statistical Methods, Machine Learning, Statistical Analysis, Financial Analysis, Time Series Analysis and Forecasting, Supervised Learning, Financial Data

    4.8
    Rating, 4.8 out of 5 stars
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    6 reviews

    Intermediate · Course · 1 - 4 Weeks

Searches related to neural network

neural networks and deep learning
neural networks and random forests
convolutional neural networks
introduction to neural networks
foundations of neural networks
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convolutional neural networks in tensorflow
introduction to neural networks and pytorch
1…373839…40

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

  • 머신 러닝 프로젝트 구조화: DeepLearning.AI
  • Practical AI for Professionals: Northeastern University
  • Predict Ad Clicks Using Logistic Regression and XG-Boost: Coursera
  • Build, Train and Deploy ML Models with Keras on Google Cloud - Italiano: Google Cloud
  • Feature Engineering - 한국어: Google Cloud
  • LLM Engineering with RAG: Optimizing AI Solutions: Coursera
  • Tidymodels in R: Building tidy machine learning models: Coursera
  • Exam Prep AI-900: Microsoft Certified Azure AI Fundamentals: Whizlabs
  • Mastering Recommendation Systems with Python: EDUCBA
  • Machine Learning for Smart Beta: Sungkyunkwan University

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