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    • Deep Learning
    Related topics:deeplearning.aineural networksapplied statisticsapplied machine learningartificial intelligencedata

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    434 results for "deep learning"

    • Deep Learning by DeepLearning.AI

      Deep Learning

      DeepLearning.AI
      Specialization
      Filled StarFilled StarFilled StarFilled StarFilled Star
      Rated 4.8 out of five stars. 132345 reviews
      4.8(132,345)
      1.2m students
      Intermediate Level
      Intermediate
    • Neural Networks and Deep Learning by DeepLearning.AI

      Neural Networks and Deep Learning

      DeepLearning.AI
      Course
      Filled StarFilled StarFilled StarFilled StarFilled Star
      Rated 4.9 out of five stars. 113412 reviews
      4.9(113,412)
      1.1m students
      Intermediate Level
      Intermediate
    • DeepLearning.AI TensorFlow Developer by DeepLearning.AI

      DeepLearning.AI TensorFlow Developer

      DeepLearning.AI
      Professional Certificate
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      Rated 4.7 out of five stars. 21735 reviews
      4.7(21,735)
      340k students
      Intermediate Level
      Intermediate
    • Natural Language Processing by DeepLearning.AI

      Natural Language Processing

      DeepLearning.AI
      Specialization
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      Rated 4.6 out of five stars. 4389 reviews
      4.6(4,389)
      120k students
      Intermediate Level
      Intermediate
    • TensorFlow 2 for Deep Learning by Imperial College London

      TensorFlow 2 for Deep Learning

      Imperial College London
      Specialization
      Filled StarFilled StarFilled StarFilled StarFilled Star
      Rated 4.8 out of five stars. 553 reviews
      4.8(553)
      31k students
      Intermediate Level
      Intermediate
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      Mathematics for Machine Learning

      Imperial College London
      Specialization
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      Rated 4.6 out of five stars. 12634 reviews
      4.6(12,634)
      310k students
      Beginner Level
      Beginner
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      Deep Learning for Healthcare

      University of Illinois at Urbana-Champaign
      Specialization
      Filled StarFilled StarStarStarStar
      Rated 2 out of five stars. 6 reviews
      2(6)
      Advanced Level
      Advanced
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      Machine Learning Engineering for Production (MLOps)

      DeepLearning.AI
      Specialization
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      Rated 4.7 out of five stars. 1888 reviews
      4.7(1,888)
      54k students
      Advanced Level
      Advanced
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      Introduction to Deep Learning

      University of Colorado Boulder
      Course
      Intermediate Level
      Intermediate
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      IBM AI Engineering

      IBM
      Professional Certificate
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      Rated 4.6 out of five stars. 14294 reviews
      4.6(14,294)
      310k students
      Intermediate Level
      Intermediate
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      Generative Adversarial Networks (GANs)

      DeepLearning.AI
      Specialization
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      Rated 4.7 out of five stars. 1741 reviews
      4.7(1,741)
      42k students
      Intermediate Level
      Intermediate
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      Machine Learning: Theory and Hands-on Practice with Python

      University of Colorado Boulder
      Specialization
      3.4k students
      Intermediate Level
      Intermediate
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      Self-Driving Cars

      University of Toronto
      Specialization
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      Rated 4.7 out of five stars. 3016 reviews
      4.7(3,016)
      130k students
      Advanced Level
      Advanced
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      Machine Learning

      University of Washington
      Specialization
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      Rated 4.6 out of five stars. 15586 reviews
      4.6(15,586)
      430k students
      Intermediate Level
      Intermediate
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      AI For Everyone

      DeepLearning.AI
      Course
      Filled StarFilled StarFilled StarFilled StarFilled Star
      Rated 4.8 out of five stars. 35594 reviews
      4.8(35,594)
      770k students
      Beginner Level
      Beginner
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      Machine Learning

      Stanford University
      Course
      Filled StarFilled StarFilled StarFilled StarFilled Star
      Rated 4.9 out of five stars. 169865 reviews
      4.9(169,865)
      4.8m students
      Mixed Level
      Mixed
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      Deep Learning Applications for Computer Vision

      University of Colorado Boulder
      Course
      Filled StarFilled StarFilled StarFilled StarFilled Star
      Rated 4.8 out of five stars. 15 reviews
      4.8(15)
      1.7k students
      Intermediate Level
      Intermediate
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      Deep Learning for Business

      Yonsei University
      Course
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      Rated 4.4 out of five stars. 614 reviews
      4.4(614)
      31k students
      Beginner Level
      Beginner
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      CertNexus Certified Artificial Intelligence Practitioner

      CertNexus
      Professional Certificate
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      Rated 4.7 out of five stars. 96 reviews
      4.7(96)
      6.9k students
      Intermediate Level
      Intermediate
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      Introduction to Deep Learning & Neural Networks with Keras

      IBM
      Course
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      Rated 4.7 out of five stars. 1054 reviews
      4.7(1,054)
      25k students
      Intermediate Level
      Intermediate

    Searches related to deep learning

    deep learning specialization
    deep learning andrew ng
    deep learning and reinforcement learning
    deep learning for healthcare
    deep learning with pytorch : image segmentation
    deep learning applications for computer vision
    deep learning with pytorch : generative adversarial network
    deep learning for business
    1234…22

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

    • Deep Learning: DeepLearning.AI
    • Neural Networks and Deep Learning: DeepLearning.AI
    • DeepLearning.AI TensorFlow Developer: DeepLearning.AI
    • Natural Language Processing: DeepLearning.AI
    • TensorFlow 2 for Deep Learning: Imperial College London
    • Mathematics for Machine Learning: Imperial College London
    • Deep Learning for Healthcare: University of Illinois at Urbana-Champaign
    • Machine Learning Engineering for Production (MLOps): DeepLearning.AI
    • Introduction to Deep Learning: University of Colorado Boulder
    • IBM AI Engineering: IBM

    Skills you can learn in Machine Learning

    Python Programming (33)
    Tensorflow (32)
    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.‎

    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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