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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

    • N

      New York University

      Overview of Advanced Methods of Reinforcement Learning in Finance

      Skills you'll gain: Reinforcement Learning, Financial Trading, Financial Market, Derivatives, Market Liquidity, Finance, Market Dynamics, Financial Modeling, Securities (Finance), Artificial Intelligence and Machine Learning (AI/ML), Credit Risk, Machine Learning, Physics

      3.8
      Rating, 3.8 out of 5 stars
      ·
      84 reviews

      Advanced · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      SQL Joins

      Skills you'll gain: MySQL, SQL, Relational Databases

      4.5
      Rating, 4.5 out of 5 stars
      ·
      167 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      University of Colorado Boulder

      Electric Vehicle Sensors

      Skills you'll gain: Power Electronics, Electrical Systems, Electrical Power, Torque (Physics), Electronic Components, Electric Power Systems, Electrical Equipment, Energy and Utilities, Basic Electrical Systems, Electrical Engineering, Control Systems, Engineering Calculations, Low Voltage, High Voltage, Machine Controls, Thermal Management, Emerging Technologies

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      46 reviews

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Fraud Detection on Financial Transactions with Machine Learning on Google Cloud

      Skills you'll gain: Feature Engineering, Big Data, Anomaly Detection, Google Cloud Platform, Unsupervised Learning, Data Manipulation, Applied Machine Learning, Decision Tree Learning, Machine Learning Methods, Risk Modeling, Threat Detection, Supervised Learning, Advanced Analytics, Predictive Modeling, Predictive Analytics, Transaction Processing

      4
      Rating, 4 out of 5 stars
      ·
      21 reviews

      Intermediate · Project · Less Than 2 Hours

    • G

      Google Cloud

      Introduction to Gemini for Google Workspace

      Skills you'll gain: Google Workspace, Generative AI, Productivity Software, Workflow Management, Gmail, Operational Efficiency, Process Improvement, Google Docs, Google Sheets, Ethical Standards And Conduct, Presentations

      4.6
      Rating, 4.6 out of 5 stars
      ·
      72 reviews

      Beginner · Course · 1 - 4 Weeks

    • E

      Edureka

      Learn Generative AI with LLMs

      Skills you'll gain: Generative AI, Large Language Modeling, ChatGPT, Natural Language Processing, Computer Vision, Deep Learning, Predictive Modeling, Text Mining, Data Ethics, Image Analysis, Classification And Regression Tree (CART), Prompt Engineering, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Tensorflow, Applied Machine Learning, Machine Learning Algorithms, OpenAI, Supervised Learning, Personally Identifiable Information

      3.6
      Rating, 3.6 out of 5 stars
      ·
      38 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      Introducción a las Simulaciones PhET para la Educación STEM

      Skills you'll gain: Interactive Learning, Pedagogy, Education Software and Technology, Mathematics Education, Simulations, Web Content Accessibility Guidelines

      4.9
      Rating, 4.9 out of 5 stars
      ·
      530 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Introduction to Java Programming: Java Fundamental Concepts

      Skills you'll gain: Java, Integrated Development Environments, Mobile Development, Computer Programming, Programming Principles, Object Oriented Programming (OOP), Debugging

      4.4
      Rating, 4.4 out of 5 stars
      ·
      171 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Codio

      Python Basics: Selection and Iteration

      Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Scripting, Computational Logic, Scripting Languages, Computer Science

      4.5
      Rating, 4.5 out of 5 stars
      ·
      256 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Displays

      Skills you'll gain: Display Devices, Computer Displays, Systems Design, Technical Design, Electronics, Electronics Engineering, Electronic Systems, Electronic Components, Technology Solutions, Emerging Technologies

      4.1
      Rating, 4.1 out of 5 stars
      ·
      48 reviews

      Advanced · Course · 1 - 4 Weeks

    • U

      University of Maryland, College Park

      Interview Research and Preparation

      Skills you'll gain: Presentations, Oral Expression, Professional Development, Interviewing Skills, English Language, Verbal Communication Skills, Cognitive flexibility, Personal Attributes, Adaptability, Communication, Self-Awareness, Personal Development, Social Skills, Language Learning, Learning Strategies, Goal Setting, Planning, Cultural Diversity

      4.5
      Rating, 4.5 out of 5 stars
      ·
      267 reviews

      Intermediate · Course · 1 - 3 Months

    • F

      Fundação Instituto de Administração

      Innovation & Entrepreneurship Mindset

      Skills you'll gain: Innovation, Strategic Decision-Making, Competitive Analysis, Ideation, Entrepreneurship, Organizational Strategy, Business Strategy, Strategic Thinking, Corporate Strategy, Project Risk Management, Risk Management, Value Propositions, New Product Development, Presentations, Business Strategies, Entrepreneurial Finance, Business Modeling, Corporate Sustainability, Market Analysis, Product Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      51 reviews

      Beginner · Specialization · 3 - 6 Months

    Deep Learning learners also search

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    1…129130131…430

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

    • Overview of Advanced Methods of Reinforcement Learning in Finance: New York University
    • SQL Joins : Coursera Project Network
    • Electric Vehicle Sensors: University of Colorado Boulder
    • Fraud Detection on Financial Transactions with Machine Learning on Google Cloud: Google Cloud
    • Introduction to Gemini for Google Workspace: Google Cloud
    • Learn Generative AI with LLMs: Edureka
    • Introducción a las Simulaciones PhET para la Educación STEM: University of Colorado Boulder
    • Introduction to Java Programming: Java Fundamental Concepts: Coursera Project Network
    • Python Basics: Selection and Iteration: Codio
    • Displays: 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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