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    • Deep Learning

    Deep Learning Courses Online

    Study deep learning for advanced machine learning. Learn about neural networks, backpropagation, and deep learning frameworks.

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    Explore the Deep Learning Course Catalog

    • U

      University of Colorado System

      Emergency Care: Pregnancy, Infants, and Children

      Skills you'll gain: Medical History Documentation, Child Health, Neonatal Intensive Care Unit, Patient Positioning, Maternal Health, Emergency Medical Services, Emergency Medicine, Hazard Communication (HazCom), Pediatrics, Obstetrics And Gynecology, Patient Evaluation, Emergency Response, Pathology, Vital Signs, Anatomy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      307 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Pennsylvania

      Business Strategies for Social Impact

      Skills you'll gain: Philanthropy, Return On Investment, Environmental Social And Corporate Governance (ESG), Corporate Sustainability, Strategic Leadership, Business Transformation, Business Strategies, Business Leadership, Business Strategy, Strategic Thinking, Business Planning, Initiative and Leadership, Business Priorities, Decision Making, Performance Measurement, Community Development, Key Performance Indicators (KPIs), Business Ethics, Strategic Decision-Making, Investment Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      549 reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of California, Irvine

      Essential English for University Success

      Skills you'll gain: Learning Styles, Discussion Facilitation, Verbal Communication Skills, Public Speaking, Learning Strategies, Time Management, Communication, Writing, Organizational Skills, Active Listening, Literacy, Communication Strategies, Research, Social Skills, Interpersonal Communications, Student Engagement, Ethical Standards And Conduct, Grammar, Editing, Intellectual Property

      4.7
      Rating, 4.7 out of 5 stars
      ·
      250 reviews

      Beginner · Specialization · 1 - 3 Months

    • U

      University of Colorado Boulder

      Compassionate Leadership Through Service Learning with Jane Goodall and Roots & Shoots

      Skills you'll gain: Community Organizing, Compassion, Community Development, Community Outreach, Needs Assessment, Program Evaluation, Empathy, Data Mapping, Teaching, Initiative and Leadership, Empowerment, Curriculum Planning, Working With Children, Collaboration, Student Engagement, Planning, Environmental Issue

      4.8
      Rating, 4.8 out of 5 stars
      ·
      150 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      P

      Pontificia Universidad Católica de Chile

      English in the Workplace: Soft skills

      Skills you'll gain: Constructive Feedback, Active Listening, Conflict Management, Meeting Facilitation, Social Skills, Communication, Verbal Communication Skills, Delegation Skills, English Language, Language Competency, Grammar, Interpersonal Communications, Professional Development, Vocabulary

      4.7
      Rating, 4.7 out of 5 stars
      ·
      105 reviews

      Intermediate · Course · 1 - 3 Months

    • B

      Board Infinity

      .Net Full Stack Foundation

      Skills you'll gain: ASP.NET, .NET Framework, C# (Programming Language), Web Applications, Object Oriented Programming (OOP), Web Design and Development, Programming Principles, Full-Stack Web Development, Event-Driven Programming, Debugging, Data Structures

      4.1
      Rating, 4.1 out of 5 stars
      ·
      250 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Data Analysis with R

      Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Data Analysis, Data Transformation, R Programming, Data Manipulation, Data Visualization, Box Plots, Predictive Analytics, Statistical Analysis, Regression Analysis, Statistical Modeling, Correlation Analysis, Data Cleansing, Tidyverse (R Package), Supervised Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      332 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Virginia Darden School Foundation

      Introduction to Digital Transformation Part 1

      Skills you'll gain: Digital Transformation, Business Transformation, Product Lifecycle Management, Competitive Analysis, Technology Strategies, Data Strategy, Business Technologies, Emerging Technologies, Innovation, Business Strategy, Business Economics, Artificial Intelligence and Machine Learning (AI/ML)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      409 reviews

      Beginner · Course · 1 - 4 Weeks

    • M

      Macquarie University

      Marketing analytics: Know your customers

      Skills you'll gain: Marketing Analytics, Customer Insights, Marketing Effectiveness, Digital Marketing, Customer Data Management, Marketing Strategies, Social Media Marketing, Customer experience strategy (CX), Customer Relationship Management, Predictive Analytics, Consumer Behaviour, Big Data, Data Analysis, Integrated Marketing Communications

      4.7
      Rating, 4.7 out of 5 stars
      ·
      437 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of London

      ICT in Primary Education: Transforming children's learning across the curriculum

      Skills you'll gain: Education Software and Technology, Technology Solutions, Technology Strategies, Collaborative Software, End User Training and Support, Digital Transformation, System Implementation, Innovation, Solution Design

      4.6
      Rating, 4.6 out of 5 stars
      ·
      193 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      T

      The University of Edinburgh

      How to Create Video for Online Courses

      Skills you'll gain: Video Production, Storyboarding, Video Editing, Photo/Video Production and Technology, Course Development, Content Creation, Web Content Accessibility Guidelines, Storytelling, Developing Training Materials, Writing, Creativity

      4.7
      Rating, 4.7 out of 5 stars
      ·
      209 reviews

      Beginner · Course · 1 - 4 Weeks

    • N

      Novartis

      Fundamentals of Good Clinical Practice: Recruitment & Trial

      Skills you'll gain: Clinical Research, Clinical Trials, Healthcare Ethics, Record Keeping, Patient Education And Counseling, Regulatory Compliance, Patient Safety

      4.8
      Rating, 4.8 out of 5 stars
      ·
      128 reviews

      Beginner · Course · 1 - 4 Weeks

    Deep Learning learners also search

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

    • Emergency Care: Pregnancy, Infants, and Children: University of Colorado System
    • Business Strategies for Social Impact: University of Pennsylvania
    • Essential English for University Success: University of California, Irvine
    • Compassionate Leadership Through Service Learning with Jane Goodall and Roots & Shoots: University of Colorado Boulder
    • English in the Workplace: Soft skills: Pontificia Universidad Católica de Chile
    • .Net Full Stack Foundation: Board Infinity
    • Data Analysis with R: IBM
    • Introduction to Digital Transformation Part 1: University of Virginia Darden School Foundation
    • Marketing analytics: Know your customers: Macquarie University
    • ICT in Primary Education: Transforming children's learning across the curriculum: University of London

    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)

    Frequently Asked Questions about Deep Learning

    Deep learning is a powerful application of machine learning (ML) algorithms modeled after biological systems of information processing called artificial neural networks (ANN). Machine learning is an artificial intelligence (AI) technique that allows computers to automatically learn from data without explicit programming, and deep learning harnesses multiple layers of interconnected neural networks to generate more sophisticated insights.

    While this field of computer science is quite new, it is already being used in a growing range of important applications. Deep learning excels at automated image recognition, also known as computer vision, which is used for creating accurate facial recognition systems and safely driving autonomous vehicles. This approach is also used for speech recognition and natural language processing (NLP) applications, which allow for computers to interact with human users via voice commands.

    Machine learning algorithms such as logistic regression are key to creating deep learning applications, along with commonly used programming languages such as Tensorflow and Python. These programming languages are generally preferred for teaching and learning in this field due to their flexibility and relative accessibility - an important priority given the relevance of deep learning to a wide range of professionals without a computer science background.‎

    A familiarity with the capabilities and development process for deep learning applications can be an asset in a growing number of careers. For example, the use of deep learning is being explored in healthcare for automatic reading of radiology images, as well as searching for patterns in genes and pharmaceutical interactions that can aid in the discovery of new types of medicines. In many fields, even a basic understanding of deep learning can help professionals identify new potential applications of this powerful technology.

    Those with a deeper expertise in deep learning may become computer research scientists in this field, responsible for inventing new algorithms and finding new applications for these techniques. Given the wide range of uses for deep learning, computer scientists in this field are in high demand for jobs at private companies as well as government agencies and research universities. According to the Bureau of Labor Statistics, computer research scientists earned a median annual salary of $122,840 as of 2019, and these jobs are expected to grow much faster than average.‎

    Certainly - in fact, Coursera is one of the best places to learn about deep learning. Through partnerships with deeplearning.ai and Stanford University, Coursera offers courses as well as Specializations taught by some of the pioneering thinkers and educators in this field. You can also learn via courses and Specializations from industry leaders such as Google Cloud and Intel, or get a professional certificate from IBM. Guided Projects also offer an opportunity to build skills in deep learning through hands-on tutorials led by experienced instructors, allowing you to learn with confidence.‎

    The skills or experience you may need to have before studying deep learning, and which can help you better understand an advanced concept such as deep learning, can include sign language reading, music generation, and natural language processing (NLP), in addition to many others. If you have knowledge of Python 3 and understand the basic concepts of general machine-learning algorithms and deep learning, you may have the necessary skills to learn this specialization. You may also want to know about probability and statistics to study deep learning concepts. Basic math, such as algebra and calculus, is also an important prerequisite to deep learning because it relates to machine learning and data science. Also, if you have worked in the tech or artificial intelligence (AI) fields, you may have the necessary experience to study deep learning.‎

    The type of person who is best suited to study deep learning is someone comfortable working with statistics, programming, advanced calculus, advanced algebra, and engineering. Deep learning benefits someone passionate about working in the AI fields which can create types of deep learning networks that help machines perform human functions. A person best suited to learn about deep learning has a vested interest in understanding how the intelligence is built to run everything from driverless cars, mobile devices, stock trading systems, and robotic surgery equipment, for example. Deep learning benefits someone with a goal of working with systems such as computer vision, speech recognition, NLP, audio recognition bioinformatics systems, and medical image analysis.‎

    Deep learning may be right for you if you want to break into AI. The specialization may benefit you if you are a machine learning researcher or practitioner who is seeking to learn the next generation of machine learning, and you want to develop practical skills in the popular deep learning framework TensorFlow. Deep learning is one of the most highly sought-after skills in tech, and mastering it may lead you to many opportunities in the field of AI. It may also benefit you if you want to learn how to build neural networks and how to lead successful machine learning projects, and if you have a passion for learning about convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and how to master concepts in Python and TensorFlow.‎

    Online Deep Learning courses offer a convenient and flexible way to enhance your knowledge or learn new Deep Learning skills. Choose from a wide range of Deep Learning courses offered by top universities and industry leaders tailored to various skill levels.‎

    Yes, Coursera offers a variety of free courses across many topics, including deep learning. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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