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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

    • Status: Free Trial
      Free Trial
      M

      Macquarie University

      Negotiation skills: Negotiate and resolve conflict

      Skills you'll gain: Conflict Management, Negotiation, Intercultural Competence, Stakeholder Management, Leadership, Leadership and Management, Organizational Leadership, Emotional Intelligence, Cultural Diversity, Self-Awareness, Communication

      4.7
      Rating, 4.7 out of 5 stars
      ·
      773 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI and LLMs: Architecture and Data Preparation

      Skills you'll gain: Large Language Modeling, Generative AI, PyTorch (Machine Learning Library), Text Mining, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Data Processing, Deep Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      212 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Create your e-commerce store with Shopify

      Skills you'll gain: Order Processing, Order Management, Inventory Management System, Inventory Control, Customer Relationship Management, E-Commerce, Web Analytics, Retail Management, Product Management, Content Management Systems, Dashboard

      4.5
      Rating, 4.5 out of 5 stars
      ·
      553 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      A

      American Psychological Association

      Psychology of Anxiety, Mood, Substance Use, and Addictive Behaviors

      Skills you'll gain: Mental and Behavioral Health Specialties, Mental Health Diseases and Disorders, Clinical Psychology, Mental and Behavioral Health, Mental Health Therapies, Psychiatry, Psychological Evaluations, Mental Health, Psychotherapy, Behavioral Health, Cultural Diversity, Epidemiology, Psychiatric And Mental Health Nursing, Pharmacology, Neurology, Demography, Psychology, Pharmacotherapy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      169 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Toronto

      Mental Health and Resilience for Healthcare Workers

      Skills you'll gain: Resilience, Mental Health, Stress Management, Emotional Intelligence, Mindfulness, Health Care, Crisis Intervention, Behavioral Health, Positive Behavior Support, Psychology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      477 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Scrimba

      AI for Web Developers

      Skills you'll gain: Prompt Engineering, Cloud Applications, OpenAI, HTML and CSS, ChatGPT, Application Deployment, API Gateway, Cloud Hosting, Generative AI, Web Development, GitHub, Cloud Security, Version Control, Front-End Web Development, Data Ethics, Application Programming Interface (API), Debugging, Large Language Modeling, Artificial Intelligence, Pseudocode

      4.6
      Rating, 4.6 out of 5 stars
      ·
      198 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Getting Started in Google Analytics

      Skills you'll gain: Google Analytics, Web Analytics, Content Performance Analysis, Marketing Analytics, Dashboard, User Accounts

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.5K reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      C

      CertNexus

      CertNexus Certified Artificial Intelligence Practitioner

      Skills you'll gain: Data Ethics, Unsupervised Learning, Random Forest Algorithm, Data Analysis, Regression Analysis, Decision Tree Learning, Machine Learning Algorithms, Data Collection, Deep Learning, Workflow Management, MLOps (Machine Learning Operations), Statistical Analysis, Linear Algebra, Applied Machine Learning, Business Ethics, Compliance Management, Learning Strategies, Test Planning, Productivity, Registration

      4.6
      Rating, 4.6 out of 5 stars
      ·
      271 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Unsupervised Machine Learning

      Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Feature Engineering, Machine Learning, Statistical Machine Learning, Text Mining, Data Mining, Data Science, Big Data, NumPy, Data Analysis, Algorithms, Natural Language Processing, Linear Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      321 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Chino básico: Cómo dar una primera impresión positiva

      Skills you'll gain: Language Learning, Cultural Sensitivity, Cultural Diversity, Oral Comprehension, Greeting Customers, Vocabulary, Oral Expression, Communication

      4.5
      Rating, 4.5 out of 5 stars
      ·
      493 reviews

      Mixed · Course · 1 - 3 Months

    • I

      IBM

      Scalable Machine Learning on Big Data using Apache Spark

      Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage, Data Pipelines, Machine Learning Algorithms, Distributed Computing, Data Processing, Exploratory Data Analysis, Statistical Analysis

      3.8
      Rating, 3.8 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of London

      Refugees in the 21st Century

      Skills you'll gain: Immigration Law, International Relations, World History, Social Justice, Crisis Intervention, Cultural Diversity, Cultural Sensitivity, Conflict Management, Demography, Policy Analysis, Social Sciences, Political Sciences, Student Engagement

      4.8
      Rating, 4.8 out of 5 stars
      ·
      561 reviews

      Beginner · Course · 1 - 3 Months

    Deep Learning learners also search

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    1…727374…440

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

    • Negotiation skills: Negotiate and resolve conflict: Macquarie University
    • Generative AI and LLMs: Architecture and Data Preparation: IBM
    • Create your e-commerce store with Shopify: Coursera Project Network
    • Psychology of Anxiety, Mood, Substance Use, and Addictive Behaviors: American Psychological Association
    • Mental Health and Resilience for Healthcare Workers: University of Toronto
    • AI for Web Developers: Scrimba
    • Getting Started in Google Analytics: Coursera Project Network
    • CertNexus Certified Artificial Intelligence Practitioner: CertNexus
    • Unsupervised Machine Learning: IBM
    • Chino básico: Cómo dar una primera impresión positiva: Arizona State 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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