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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

    • G

      Google

      파이썬 단기집중과정

      Skills you'll gain: Object Oriented Programming (OOP), Python Programming, Computer Programming, Programming Principles, Computational Thinking, Scripting Languages, Scripting, Problem Management, Data Structures, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      52 reviews

      Beginner · Course · 1 - 3 Months

    • P

      Packt

      Blender to Unreal Engine - Become a Dungeon Prop Artist

      Skills you'll gain: 3D Modeling, Unreal Engine, Unity Engine, Computer Graphics, Video Game Development, Animation and Game Design, Augmented and Virtual Reality (AR/VR), Virtual Environment, Content Management, Animations, Game Design, Data Import/Export, User Interface (UI), Performance Tuning, Simulations

      4.7
      Rating, 4.7 out of 5 stars
      ·
      18 reviews

      Beginner · Specialization · 3 - 6 Months

    • K

      Kennesaw State University

      The Measure Phase for the 6 σ Black Belt

      Skills you'll gain: Six Sigma Methodology, Lean Methodologies, Process Capability, Lean Six Sigma, Data Collection, Sampling (Statistics), Probability Distribution, Process Analysis, Descriptive Statistics, Performance Measurement, Quality Improvement, Continuous Quality Improvement (CQI), Statistics, Probability, Systems Of Measurement, Statistical Analysis

      4.3
      Rating, 4.3 out of 5 stars
      ·
      51 reviews

      Mixed · Course · 1 - 3 Months

    • L

      LearnQuest

      Python Scripting for DevOps

      Skills you'll gain: Containerization, Package and Software Management, Unified Modeling Language, Software Testing, Docker (Software), Unit Testing, Plot (Graphics), Development Testing, CI/CD, Test Automation, Pandas (Python Package), Scripting, Data Modeling, NumPy, Programming Principles, Object Oriented Programming (OOP), Data Structures, Computer Programming, Python Programming, Command-Line Interface

      4
      Rating, 4 out of 5 stars
      ·
      201 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      Universidad de Palermo

      Psicología de la Percepción

      Skills you'll gain: Psychology, Anatomy, Human Learning, Neurology, Psychological Evaluations, Scientific Methods

      4.9
      Rating, 4.9 out of 5 stars
      ·
      161 reviews

      Beginner · Course · 1 - 4 Weeks

    • M

      Macquarie University

      Supply chain management: Be global

      Skills you'll gain: Supply Chain, Supply Chain Planning, Supply Chain Management, Strategic Sourcing, Transportation, Supply Chain, and Logistics, Procurement, Logistics Management, Supplier Management, Corporate Sustainability, Risk Management, Business Technologies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      349 reviews

      Beginner · Course · 1 - 3 Months

    • D

      Duke University

      Spark, Hadoop, and Snowflake for Data Engineering

      Skills you'll gain: PySpark, Snowflake Schema, Databricks, Data Pipelines, Apache Spark, MLOps (Machine Learning Operations), Apache Hadoop, Big Data, Data Warehousing, Data Quality, Data Integration, Data Processing, DevOps, Data Transformation, SQL

      3.8
      Rating, 3.8 out of 5 stars
      ·
      51 reviews

      Advanced · Course · 1 - 4 Weeks

    • U

      Universidad Nacional Autónoma de México

      Simulación en ciencias de la salud

      Skills you'll gain: Clinical Experience, Patient Evaluation, Virtual Environment, Learning Theory, Constructive Feedback, Health Assessment, Decision Making, Patient Treatment, Medical Equipment and Technology, Instructional Design, Patient Preparation, Planning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      44 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      M

      MathWorks

      Modeling and Simulation with Simulink

      Skills you'll gain: Simulation and Simulation Software, Control Systems, Model Based Systems Engineering, Engineering Practices, Mathematical Modeling, Engineering Analysis, Systems Engineering, Systems Design, Performance Tuning, Matlab

      4.9
      Rating, 4.9 out of 5 stars
      ·
      27 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      University of California, Santa Cruz

      Children Acquiring Literacy Naturally

      Skills you'll gain: Literacy, Demography, Child Development, Human Learning, Working With Children, Language Learning, Childhood Education and Development, Learning Theory, Education Software and Technology, Liberal Arts, Vocabulary, Research

      4.5
      Rating, 4.5 out of 5 stars
      ·
      183 reviews

      Beginner · Course · 1 - 4 Weeks

    • A

      Arizona State University

      商务英语课程:管理与领导力英语 Management & Leadership

      Skills you'll gain: Meeting Facilitation, Business Writing, Active Listening, Business Correspondence, Employee Coaching, Business Communication, Constructive Feedback, Telephone Skills, Leadership, Leadership and Management, Recruitment, Verbal Communication Skills, English Language, Team Building, Communication, Communication Strategies, Grammar, Vocabulary

      4.6
      Rating, 4.6 out of 5 stars
      ·
      35 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      Universidad Nacional Autónoma de México

      Evolución

      Skills you'll gain: Biology, Life Sciences, Human Development, Human Learning, Environment, Anthropology, World History, Social Studies, Deductive Reasoning, Innovation, Molecular, Cellular, and Microbiology, European History, Higher Education, Taxonomy, Mathematical Modeling, Scientific Methods, Probability & Statistics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      356 reviews

      Beginner · Specialization · 1 - 3 Months

    Deep Learning learners also search

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    1…149150151…432

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

    • 파이썬 단기집중과정: Google
    • Blender to Unreal Engine - Become a Dungeon Prop Artist: Packt
    • The Measure Phase for the 6 σ Black Belt: Kennesaw State University
    • Python Scripting for DevOps: LearnQuest
    • Psicología de la Percepción: Universidad de Palermo
    • Supply chain management: Be global: Macquarie University
    • Spark, Hadoop, and Snowflake for Data Engineering: Duke University
    • Simulación en ciencias de la salud: Universidad Nacional Autónoma de México
    • Modeling and Simulation with Simulink : MathWorks
    • Children Acquiring Literacy Naturally: University of California, Santa Cruz

    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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