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  • Deep Learning

Deep Learning Courses

Deep learning courses can help you learn neural networks, convolutional networks, and recurrent networks, along with their applications in image recognition and natural language processing. You can build skills in model training, hyperparameter tuning, and performance evaluation, which are crucial for developing effective AI solutions. Many courses introduce tools like TensorFlow and PyTorch, allowing you to implement algorithms and optimize models, making your learning experience hands-on and relevant to current industry practices.

Popular Deep Learning Courses and Certifications


  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Web Development with HTML, CSS, JavaScript

    Skills you'll gain: HTML and CSS, Hypertext Markup Language (HTML), Web Development Tools, Web Design and Development, Web Development, Cascading Style Sheets (CSS), Web Design, Front-End Web Development, Javascript, Web Applications, Interactive Design, Program Development, JavaScript Frameworks, Full-Stack Web Development, Back-End Web Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.4K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    T

    The University of Sydney

    Innovation Through Design: Think, Make, Break, Repeat

    Skills you'll gain: Design Thinking, Human Centered Design, Innovation, Design Reviews, Prototyping, Ideation, Design Strategies, Process Design, Design, Design Research, Usability Testing, User Feedback

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.3K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Introduction to Scripting in Python

    Skills you'll gain: Data Visualization Software, File I/O, Data Visualization, Plot (Graphics), Statistical Visualization, Package and Software Management, Python Programming, Data Cleansing, Programming Principles, Data Processing, Data Persistence, Data Mapping, Data Manipulation, Code Reusability, Data Dictionary, Development Environment, Data Access, Computational Logic, Data Wrangling, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Neuroscience and Neuroimaging

    Skills you'll gain: Magnetic Resonance Imaging, Neurology, Medical Imaging, Anatomy, Image Analysis, Data Analysis, Correlation Analysis, Data Manipulation, R (Software), Radiology, Experimentation, Research Design, Statistical Analysis, Image Quality, Psychology, Advanced Analytics, Network Analysis, R Programming, Statistical Methods, Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.3K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    SAS

    Getting Started with SAS Programming

    Skills you'll gain: SAS (Software), Statistical Reporting, Data Import/Export, Data Validation, Data Access, Data Manipulation, Statistical Programming, Exploratory Data Analysis, Data Preprocessing, Data Analysis, Data Transformation, SQL, Data Presentation, Microsoft Excel

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.2K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    J

    John Wiley & Sons

    Machine Learning: Real-World Applications

    Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Data Ethics, Image Analysis, AI Personalization, Model Training, Convolutional Neural Networks, Model Optimization, Machine Learning, Applied Machine Learning, Feature Engineering, Machine Learning Methods, Computer Vision, Supervised Learning, Data Preprocessing, Program Evaluation, Unsupervised Learning, Python Programming, Data Science, Algorithms

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Data Preparation & Applied Machine Learning

    Skills you'll gain: Data Preprocessing, Supervised Learning, Model Optimization, Feature Engineering, Pandas (Python Package), Data Wrangling, Exploratory Data Analysis, Data Quality, Model Training, Applied Machine Learning, Data Processing, Data Manipulation, Statistical Machine Learning, Data Transformation, Classification And Regression Tree (CART), Data Cleansing, Data Pipelines, Machine Learning, Data Modeling, Data Architecture

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Statistics with Python

    Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Modeling, Statistical Methods, Statistical Inference, Statistics, Bayesian Statistics, Data Visualization, Plot (Graphics), Data Literacy, Scientific Visualization, Matplotlib, Statistical Visualization, Statistical Software, Probability & Statistics, Model Evaluation, Data-Driven Decision-Making, Statistical Analysis, Jupyter, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.4K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Build Interactive E-Learning Courses

    Skills you'll gain: Multimedia, Learning Management Systems, Course Development, Interactive Learning, Educational Materials, Instructional and Curriculum Design, Interactive Design, Instructional Design, Train The Trainer, No-Code Development, Education Software and Technology, Web Content, Design and Product, Web Design and Development, Data Sharing, Functional Design, Data Import/Export, Content Management

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Meta

    Meta Marketing Science Certification Prep

    Skills you'll gain: Meta Ads Manager, Marketing Analytics, Data-Driven Marketing, Bayesian Statistics, Descriptive Statistics, Marketing Effectiveness, Statistical Hypothesis Testing, Target Audience, Marketing Strategies, Marketing Planning, Statistical Inference, Marketing Strategy and Techniques, Statistical Software, Sampling (Statistics), A/B Testing, Data Collection, Marketing, Analytics, Performance marketing, Web Analytics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Chino básico: Cómo dar una primera impresión positiva

    Skills you'll gain: Language Learning, Culture, Language Competency, Spanish Language, Oral Comprehension, Greeting Customers, Vocabulary, Oral Expression, Verbal Communication Skills, Business Communication, Grammar, Communication, Writing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    493 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Washington

    Computational Neuroscience

    Skills you'll gain: Machine Learning Methods, Network Model, Electrophysiology, Supervised Learning, Machine Learning Algorithms, Artificial Neural Networks, Reinforcement Learning, Sensory Systems Analysis, Matlab, Mathematical Modeling, Network Analysis, Neurology, Recurrent Neural Networks (RNNs), Physiology, Biology, Differential Equations, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

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In summary, here are 10 of our most popular deep learning courses

  • Introduction to Web Development with HTML, CSS, JavaScript: IBM
  • Innovation Through Design: Think, Make, Break, Repeat: The University of Sydney
  • Introduction to Scripting in Python: Rice University
  • Neuroscience and Neuroimaging: Johns Hopkins University
  • Getting Started with SAS Programming: SAS
  • Machine Learning: Real-World Applications: John Wiley & Sons
  • Data Preparation & Applied Machine Learning: Coursera
  • Statistics with Python: University of Michigan
  • Build Interactive E-Learning Courses: EDUCBA
  • Meta Marketing Science Certification Prep: Meta

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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