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    Results for "deep learning"

    • Status: Free
      Free

      Copenhagen Business School

      An Introduction to Consumer Neuroscience & Neuromarketing

      Skills you'll gain: Consumer Behaviour, Marketing Psychology, Decision Making, Human Learning, Customer Insights, Market Research, Business Ethics, Marketing, Advertising, Brand Awareness, Psychology, Magnetic Resonance Imaging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free

      Stanford University

      Organizational Analysis

      Skills you'll gain: Organizational Structure, Decision Making, Organizational Leadership, Organizational Change, Professional Networking, Strategic Decision-Making, Business, Social Sciences, Culture, Sociology, Analysis, Resource Management, Learning Theory, Innovation, Negotiation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.6K reviews

      Beginner · Course · 1 - 3 Months

    • IBM

      Cybersecurity Fundamentals

      Skills you'll gain: Encryption, Identity and Access Management, Public Key Infrastructure, Endpoint Security, Cryptography, Network Security, Cybersecurity, Threat Detection, Cyber Attacks, Cryptographic Protocols, Data Security, Email Security, Computer Security Awareness Training, Advanced Encryption Standard (AES), Security Awareness, Secure Coding, Data Encryption Standard, Technical Support and Services, Information Technology, Cyber Security Strategy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • Arizona State University

      Teach English Now! Teaching Language Online

      Skills you'll gain: Grammar, English Language, Education Software and Technology, Language Learning, Oral Comprehension, Vocabulary, Requirements Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      682 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free

      Amazon Web Services

      Developing Machine Learning Solutions

      Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Cloud Management, Machine Learning, Applied Machine Learning, Cloud Development, Predictive Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      48 reviews

      Beginner · Course · 1 - 4 Weeks

    • University of Pennsylvania

      Introduction to Programming with Python and Java

      Skills you'll gain: Matplotlib, Object Oriented Design, Java, Object Oriented Programming (OOP), Data Analysis, Unit Testing, Pandas (Python Package), Eclipse (Software), Data Structures, Data Cleansing, Debugging, Pivot Tables And Charts, Data Visualization Software, Software Testing, Integrated Development Environments, Program Development, Programming Principles, Python Programming, Computer Programming, Computational Thinking

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.8K reviews

      Beginner · Specialization · 3 - 6 Months

    • University of California, Irvine

      TOEFL Preparation

      Skills you'll gain: Oral Comprehension, Vocabulary, Literacy, English Language, Language Competency, Grammar, Language Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      672 reviews

      Beginner · Specialization · 1 - 3 Months

    • DeepLearning.AI

      Device-based Models with TensorFlow Lite

      Skills you'll gain: iOS Development, Android Development, Tensorflow, Swift Programming, Mobile Development, Applied Machine Learning, Embedded Systems, Machine Learning Methods, Computer Vision

      4.7
      Rating, 4.7 out of 5 stars
      ·
      653 reviews

      Intermediate · Course · 1 - 4 Weeks

    • IBM

      IBM Program Manager

      Skills you'll gain: User Story, Program Management, Stakeholder Management, Resource Allocation, Stakeholder Engagement, Agile Software Development, Agile Methodology, Kanban Principles, Project Management Life Cycle, Backlogs, Change Management, Project Management Office (PMO), Sprint Retrospectives, Agile Project Management, Organizational Strategy, Risk Management, Resource Management, Governance, Project Management, Generative AI Agents

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.5K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Sungkyunkwan University

      A Bridge to the World: Korean Language for Beginners â… 

      Skills you'll gain: Language Learning, Oral Comprehension, Language Competency, Oral Expression, Vocabulary, Grammar

      4.8
      Rating, 4.8 out of 5 stars
      ·
      580 reviews

      Beginner · Course · 1 - 3 Months

    • Macquarie University

      Excel Skills for Business: Intermediate II

      Skills you'll gain: Excel Formulas, Microsoft Excel, Excel Macros, Data Validation, Spreadsheet Software, Data Analysis Expressions (DAX), Data Modeling, Financial Forecasting, Predictive Modeling, Financial Modeling, Workflow Management, Data Integrity, Business Modeling, Automation, Process Optimization

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8.3K reviews

      Intermediate · Course · 1 - 3 Months

    • Arizona State University

      Teach English Now! Capstone Project 2

      Skills you'll gain: Oral Comprehension, Literacy, Education Software and Technology, Grammar, English Language, Language Learning, Organizational Skills

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 3 Months

    Searches related to deep learning

    deep learning specialization
    deep learning.ai
    deep learning ai
    deep learning: recurrent neural networks with python
    deep learning with pytorch
    deep learning for computer vision
    deep learning with pytorch : image segmentation
    deep learning for object detection
    1…303132…432

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

    • An Introduction to Consumer Neuroscience & Neuromarketing : Copenhagen Business School
    • Organizational Analysis : Stanford University
    • Cybersecurity Fundamentals: IBM
    • Teach English Now! Teaching Language Online: Arizona State University
    • Developing Machine Learning Solutions: Amazon Web Services
    • Introduction to Programming with Python and Java: University of Pennsylvania
    • TOEFL Preparation: University of California, Irvine
    • Device-based Models with TensorFlow Lite: DeepLearning.AI
    • IBM Program Manager: IBM
    • A Bridge to the World: Korean Language for Beginners â… : Sungkyunkwan University

    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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