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    Results for "deep learning"

    • Status: Free
      Free

      Goldman Sachs

      Grow Your Business with Goldman Sachs 10,000 Women

      Skills you'll gain: Market Opportunities, Business Planning, Feasibility Studies, Growth Strategies, Business Development, Business Strategies, Strategic Thinking, Entrepreneurship, Peer Review, Innovation, Professional Networking

      4.8
      Rating, 4.8 out of 5 stars
      ·
      986 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial

      University of Colorado Boulder

      Statistical Modeling for Data Science Applications

      Skills you'll gain: Statistical Inference, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Ethics, Statistical Methods, Data Analysis, Statistical Analysis, Data Modeling, Predictive Modeling, Probability & Statistics, Advanced Analytics, Correlation Analysis, Forecasting, Data Science, A/B Testing, Machine Learning, Classification And Regression Tree (CART), Linear Algebra

      Build toward a degree

      4.1
      Rating, 4.1 out of 5 stars
      ·
      52 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial

      University of California, Irvine

      Strategies for Teaching Perfect Tenses and Modals

      Skills you'll gain: English Language, Grammar, Language Learning

      4.2
      Rating, 4.2 out of 5 stars
      ·
      95 reviews

      Intermediate · Course · 1 - 3 Months

    • Coursera Instructor Network

      Financial Analysis: Portfolios, Risks, Strategic Decisions

      Skills you'll gain: Portfolio Management, Investment Management, Risk Management, Financial Management, Finance, Financial Market, Investments, Financial Planning, Financial Analysis, Asset Management, Risk Analysis, Financial Forecasting, Business Valuation, Market Dynamics, Quantitative Research

      4.4
      Rating, 4.4 out of 5 stars
      ·
      117 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial

      Meta

      Back-End Developer Capstone

      Skills you'll gain: Back-End Web Development, Django (Web Framework), Git (Version Control System), Full-Stack Web Development, Server Side, API Design, Application Development, Restful API, Unit Testing, MySQL, User Accounts, Software Testing, Web Applications, Databases

      4.6
      Rating, 4.6 out of 5 stars
      ·
      159 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial

      University of California, Irvine

      Academic Discussions in English

      Skills you'll gain: Discussion Facilitation, English Language, Social Skills, Constructive Feedback, Active Listening, Verbal Communication Skills, Interpersonal Communications, Communication, Public Speaking, Collaboration, Critical Thinking, Analytical Skills

      4.6
      Rating, 4.6 out of 5 stars
      ·
      125 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial

      Macquarie University

      Management and financial accounting: Know your numbers 1

      Skills you'll gain: Governance, Management Accounting, Budgeting, Financial Modeling, Accounting, Financial Analysis, Forecasting, Financial Management, Financial Accounting, Financial Statements, Business Management, Bookkeeping, Organizational Strategy, Strategic Decision-Making, Cash Flows

      4.7
      Rating, 4.7 out of 5 stars
      ·
      315 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial

      Shanghai Jiao Tong University

      Learn Mandarin Chinese: Capstone Project

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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      276 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial

      University of Leeds

      Major Engineering Projects: Governance, Risk and Scope

      Skills you'll gain: Stakeholder Management, Stakeholder Engagement, Engineering Management, Scope Management, Risk Management, Project Scoping, Project Risk Management, Project Management, Business Risk Management, Governance

      4.7
      Rating, 4.7 out of 5 stars
      ·
      292 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial

      Imperial College London

      Customising your models with TensorFlow 2

      Skills you'll gain: Tensorflow, Data Pipelines, Keras (Neural Network Library), Deep Learning, Natural Language Processing, Data Processing, Artificial Neural Networks, Time Series Analysis and Forecasting, Performance Tuning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      191 reviews

      Intermediate · Course · 1 - 3 Months

    • University of London

      Internal Displacement, Conflict and Protection

      Skills you'll gain: Social Justice, Conflict Management, Social and Human Services, Cultural Responsiveness, International Relations, Diversity Awareness, Social Work, Advocacy, World History, Law, Regulation, and Compliance, Storytelling

      4.9
      Rating, 4.9 out of 5 stars
      ·
      69 reviews

      Beginner · Course · 1 - 3 Months

    • Google Cloud

      Generative AI for Healthcare

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Google Cloud Platform, Artificial Intelligence, Supervised Learning, Machine Learning, Health Technology, Health Informatics, Deep Learning

      4.2
      Rating, 4.2 out of 5 stars
      ·
      41 reviews

      Intermediate · Course · 1 - 3 Months

    Searches related to deep learning

    deep learning specialization
    deep learning: recurrent neural networks with python
    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 - artificial neural networks with tensorflow
    1…114115116…438

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

    • Grow Your Business with Goldman Sachs 10,000 Women: Goldman Sachs
    • Statistical Modeling for Data Science Applications: University of Colorado Boulder
    • Strategies for Teaching Perfect Tenses and Modals: University of California, Irvine
    • Financial Analysis: Portfolios, Risks, Strategic Decisions: Coursera Instructor Network
    • Back-End Developer Capstone : Meta
    • Academic Discussions in English: University of California, Irvine
    • Management and financial accounting: Know your numbers 1: Macquarie University
    • Learn Mandarin Chinese: Capstone Project: Shanghai Jiao Tong University
    • Major Engineering Projects: Governance, Risk and Scope: University of Leeds
    • Customising your models with TensorFlow 2: Imperial College 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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