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    Results for "deep learning"

    • Status: Free Trial
      Free Trial

      American Psychological Association

      Ethics of Psychological Research

      Skills you'll gain: Healthcare Ethics, Research, Ethical Standards And Conduct, Research Design, Data Collection, Research Methodologies, General Science and Research, Laboratory Research, Psychology, Education and Training, Cultural Diversity, Learning Strategies

      4.9
      Rating, 4.9 out of 5 stars
      ·
      67 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial

      Aptly

      Advertising and E-commerce on TikTok

      Skills you'll gain: TikTok, Content Performance Analysis, Performance Measurement, Web Analytics, Advertising, Digital Media Strategy, Advertising Campaigns, Performance Analysis, Performance Metric, Digital Advertising, Marketing Analytics, Marketing, Marketing Strategies, E-Commerce, Campaign Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      59 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial

      LearnQuest

      Artificial Intelligence Privacy and Convenience

      Skills you'll gain: Data Ethics, Information Privacy, Personally Identifiable Information, Machine Learning, Artificial Intelligence, Data Security, Business Ethics, Vulnerability Assessments, Data Governance, Data Collection, Algorithms, Accountability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      89 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial

      LearnKartS

      System and Network Security

      Skills you'll gain: Penetration Testing, Network Security, Malware Protection, Threat Modeling, Cybersecurity, Threat Detection, Information Systems Security, Intrusion Detection and Prevention, Firewall, Cyber Attacks, Vulnerability Assessments, Internet Of Things, Network Analysis

      5
      Rating, 5 out of 5 stars
      ·
      33 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial

      Edureka

      Machine Learning and NLP Basics

      Skills you'll gain: Natural Language Processing, Deep Learning, Predictive Modeling, Text Mining, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Tensorflow, Applied Machine Learning, Machine Learning Algorithms, Supervised Learning, Artificial Neural Networks, Unstructured Data

      3.4
      Rating, 3.4 out of 5 stars
      ·
      25 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New

      Simplilearn

      Programming with C ++

      Skills you'll gain: C and C++, C++ (Programming Language), Object Oriented Programming (OOP), Computer Programming, Programming Principles, Data Structures, Algorithms, Development Environment

      4.4
      Rating, 4.4 out of 5 stars
      ·
      20 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial

      Red Hat

      Fundamentals of Red Hat Enterprise Linux

      Skills you'll gain: Linux, Package and Software Management, Linux Administration, Red Hat Enterprise Linux, Linux Commands, User Accounts, OS Process Management, Command-Line Interface, File Management, Unix Shell, Systems Administration, System Monitoring, Network Administration, General Networking, Firewall, Open Source Technology

      4.9
      Rating, 4.9 out of 5 stars
      ·
      64 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial

      The Chinese University of Hong Kong

      Entrepreneurship

      Skills you'll gain: Entrepreneurship, Market Opportunities, Innovation, Business Planning, Business Leadership, Business Development, New Product Development, Financial Analysis, Business Strategy, Market Research, Presentations, Growth Strategies, Financial Modeling, Fundraising

      4.7
      Rating, 4.7 out of 5 stars
      ·
      286 reviews

      Beginner · Course · 1 - 3 Months

    • Pohang University of Science and Technology(POSTECH)

      Programming with Cloud IoT Platforms

      Skills you'll gain: Internet Of Things, Cloud Platforms, IBM Cloud, Application Development, Cloud Services, Cloud Computing, Google Cloud Platform, Infrastructure As A Service (IaaS), Microsoft Azure, Amazon Web Services, Middleware, Emerging Technologies, Automation, Network Protocols

      4.3
      Rating, 4.3 out of 5 stars
      ·
      320 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial

      University of Colorado Boulder

      Project Planning and Machine Learning

      Skills you'll gain: Machine Learning Algorithms, Big Data, Product Development, Analytics, File Systems, New Product Development, Data Analysis, Machine Learning, Applied Machine Learning, Internet Of Things, Data Processing, Supervised Learning, Product Planning, Unsupervised Learning, Data Storage

      4.6
      Rating, 4.6 out of 5 stars
      ·
      131 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Coursera Project Network

      Data Visualization with Plotly Express

      Skills you'll gain: Plotly, Interactive Data Visualization, Data Visualization Software, Scatter Plots, Ggplot2, Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      269 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Coursera Instructor Network

      Well Being & Self Care: for Physical and Mental Health

      Skills you'll gain: Stress Management, Positivity, Personal Care, Mindfulness, Behavioral Health, Personal Development, Productivity, Self-Motivation, Self-Awareness, Mental Health, Resilience, Goal Setting, Activities of Daily Living (ADLs)

      4.9
      Rating, 4.9 out of 5 stars
      ·
      48 reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to deep learning

    deep learning specialization
    deep learning ai
    deep learning with pytorch
    deep learning with keras and tensorflow
    deep learning for computer vision
    deep learning with pytorch : generative adversarial network
    deep learning for natural language processing
    deep learning - artificial neural networks with tensorflow
    1…162163164…439

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

    • Ethics of Psychological Research: American Psychological Association
    • Advertising and E-commerce on TikTok: Aptly
    • Artificial Intelligence Privacy and Convenience: LearnQuest
    • System and Network Security: LearnKartS
    • Machine Learning and NLP Basics: Edureka
    • Programming with C ++: Simplilearn
    • Fundamentals of Red Hat Enterprise Linux: Red Hat
    • Entrepreneurship: The Chinese University of Hong Kong
    • Programming with Cloud IoT Platforms: Pohang University of Science and Technology(POSTECH)
    • Project Planning and Machine Learning: University of Colorado Boulder

    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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