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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
      B

      Banco Interamericano de Desarrollo

      Aprendizaje, primera infancia y desarrollo de habilidades

      Skills you'll gain: Childhood Education and Development, Child Development, Teaching, Pedagogy, Education and Training, Instructional Strategies, Working With Children, Human Development, Human Learning, Adult Education, Professional Development, Parent Communication, Emotional Intelligence

      4.3
      Rating, 4.3 out of 5 stars
      ·
      16 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Mastering Neural Networks and Model Regularization

      Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Supervised Learning, Artificial Neural Networks, Image Analysis, Decision Tree Learning, Machine Learning Algorithms, Machine Learning, Computer Vision

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Columbia University

      Visual Perception

      Skills you'll gain: Computer Vision, Image Analysis, Dimensionality Reduction, Artificial Neural Networks, Unsupervised Learning, Deep Learning, Graph Theory, Machine Learning Algorithms, Machine Learning, Feature Engineering

      4.6
      Rating, 4.6 out of 5 stars
      ·
      32 reviews

      Beginner · Course · 1 - 3 Months

    • S

      Starweaver

      Foundations of Hotel Budgeting and Forecasting

      Skills you'll gain: Advanced Analytics, Budget Management, Hospitality Management, Budgeting, Financial Forecasting, Hospitality, Variance Analysis, Forecasting, Operating Budget, Corporate Sustainability, Revenue Management, Demand Planning, Revenue Forecasting, Financial Statement Analysis, Financial Analysis, Performance Analysis, Trend Analysis, Applied Machine Learning, Performance Metric, Strategic Decision-Making

      Beginner · Course · 1 - 3 Months

    • N

      Northeastern University

      Foundations in Human-Centered AI

      Skills you'll gain: Human Centered Design, Human Computer Interaction, Usability, Generative AI, Interaction Design, User Interface (UI), Artificial Intelligence, Machine Learning, Deep Learning

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Machine Learning with TensorFlow on Google Cloud en Français

      Skills you'll gain: Feature Engineering, Tensorflow, Exploratory Data Analysis, Data Quality, Keras (Neural Network Library), Data Cleansing, Google Cloud Platform, Data Pipelines, Machine Learning, Data Strategy, Machine Learning Algorithms, Supervised Learning, Unsupervised Learning, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Data Processing, Artificial Neural Networks, Applied Machine Learning, MLOps (Machine Learning Operations)

      4.2
      Rating, 4.2 out of 5 stars
      ·
      30 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Designing Effective Science Communication

      Skills you'll gain: Oral Expression, Non-Verbal Communication, Learning Theory, Storytelling, Education Software and Technology, Human Learning, Motivational Interviewing, Conflict Management, Interpersonal Communications, Technical Communication, Education and Training, Media and Communications, Teaching, Writing, Scientific Methods, Rapport Building, Communication Strategies, Research, Cultural Diversity, Science and Research

      4.4
      Rating, 4.4 out of 5 stars
      ·
      9 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      More C++ Programming and Unreal

      Skills you'll gain: Unreal Engine, C++ (Programming Language), Data Structures, Video Game Development, Data Storage, Object Oriented Programming (OOP), Computer Programming, Programming Principles

      4.4
      Rating, 4.4 out of 5 stars
      ·
      34 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      Universidad Austral

      La escuela rural y su comunidad: herramientas para la acción

      Skills you'll gain: Program Evaluation, Community Outreach, Education and Training, Pedagogy, Community Development, Teaching, Curriculum Planning, Mentorship, Parent Communication, Student Support and Services, Learning Strategies, Discussion Facilitation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      65 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      CertNexus

      Follow a Machine Learning Workflow

      Skills you'll gain: Data Analysis, Data Collection, Workflow Management, MLOps (Machine Learning Operations), Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Applied Machine Learning, Machine Learning, Feature Engineering, Data Modeling, Application Deployment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      EDUCBA

      Azure Networking Fundamentals

      Skills you'll gain: Network Architecture, Network Monitoring, Load Balancing, Microsoft Azure, Network Troubleshooting, Network Infrastructure, Scalability, Network Security, Cloud Infrastructure, Computer Networking, Firewall, Virtual Private Networks (VPN), Distributed Denial-Of-Service (DDoS) Attacks, Virtual Machines

      4.5
      Rating, 4.5 out of 5 stars
      ·
      31 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Fundamentals of Machine Learning for Supply Chain

      Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Operations Research, NumPy, Data Manipulation, Supply Chain, Data Transformation, Pandas (Python Package), Data Analysis, Data Cleansing, Programming Principles, Python Programming, Applied Machine Learning, Plot (Graphics), Computer Programming, Data Structures

      3.7
      Rating, 3.7 out of 5 stars
      ·
      37 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Aprendizaje, primera infancia y desarrollo de habilidades: Banco Interamericano de Desarrollo
    • Mastering Neural Networks and Model Regularization: Johns Hopkins University
    • Visual Perception: Columbia University
    • Foundations of Hotel Budgeting and Forecasting: Starweaver
    • Foundations in Human-Centered AI: Northeastern University
    • Machine Learning with TensorFlow on Google Cloud en Français: Google Cloud
    • Designing Effective Science Communication: University of Colorado Boulder
    • More C++ Programming and Unreal: University of Colorado System
    • La escuela rural y su comunidad: herramientas para la acción: Universidad Austral
    • Follow a Machine Learning Workflow: CertNexus

    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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