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    • Deep Learning

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    701 results for "deep learning"

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      IBM Skills Network

      Building Deep Learning Models with TensorFlow

      Skills you'll gain: Deep Learning, Machine Learning, Artificial Neural Networks, Computer Programming, Computer Vision, Applied Machine Learning, Dimensionality Reduction, Python Programming, Statistical Programming, Tensorflow, Machine Learning Algorithms

      4.4

      (708 reviews)

      Intermediate · Course · 1-3 Months

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      University of Toronto

      Visual Perception for Self-Driving Cars

      Skills you'll gain: Machine Learning, Applied Machine Learning, Computer Programming, Python Programming, Algorithms, Artificial Neural Networks, Linear Algebra, Mathematics, Theoretical Computer Science, Computer Graphic Techniques, Computer Graphics, Computer Vision, Deep Learning, Machine Learning Algorithms, Machine Learning Software

      4.7

      (531 reviews)

      Advanced · Course · 1-3 Months

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      IBM Skills Network

      Applied AI with DeepLearning

      Skills you'll gain: Machine Learning, Deep Learning, Artificial Neural Networks, Python Programming, Statistical Programming, Machine Learning Software, Statistical Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Natural Language Processing, Tensorflow, Computer Vision, Dimensionality Reduction, Linear Algebra, Mathematics, Apache, Big Data, Computer Programming, Data Management

      4.4

      (1.1k reviews)

      Advanced · Course · 1-4 Weeks

    • Free

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      DeepLearning.AI

      컨볼루션 신경망

      Skills you'll gain: Machine Learning, Artificial Neural Networks

      Intermediate · Course · 1-4 Weeks

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      Coursera Project Network

      Aerial Image Segmentation with PyTorch

      Skills you'll gain: Computer Programming, Deep Learning, Machine Learning, Python Programming, Statistical Programming

      4.2

      (10 reviews)

      Intermediate · Guided Project · Less Than 2 Hours

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      Coursera Project Network

      Deep Learning for Real Estate Price Prediction

      Skills you'll gain: Artificial Neural Networks, Deep Learning, Machine Learning, Python Programming

      4.1

      (10 reviews)

      Beginner · Guided Project · Less Than 2 Hours

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      Free

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      Yonsei University

      Deep Learning for Business

      Skills you'll gain: Deep Learning, Machine Learning, Entrepreneurship, Artificial Neural Networks, Applied Machine Learning, Business Development, Sales

      4.4

      (641 reviews)

      Beginner · Course · 1-3 Months

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      NVIDIA

      Introduction to AI in the Data Center

      Skills you'll gain: Deep Learning, Machine Learning

      Beginner · Course · 1-4 Weeks

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      DeepLearning.AI

      Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

      Skills you'll gain: Machine Learning, Tensorflow, Computer Vision, Deep Learning, Artificial Neural Networks, Computer Programming, Python Programming, Statistical Programming, Applied Machine Learning, Programming Principles, Computer Graphic Techniques, Computer Graphics, Machine Learning Algorithms, Machine Learning Software

      4.8

      (18.3k reviews)

      Intermediate · Course · 1-4 Weeks

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      IBM Skills Network

      Introduction to Deep Learning & Neural Networks with Keras

      Skills you'll gain: Artificial Neural Networks, Computer Programming, Computer Vision, Deep Learning, Machine Learning, Statistical Programming, Algorithms, Mathematics, Probability & Statistics, Python Programming, Theoretical Computer Science

      4.7

      (1.2k reviews)

      Intermediate · Course · 1-3 Months

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      Coursera Project Network

      Sentiment Analysis with Deep Learning using BERT

      Skills you'll gain: Deep Learning, Machine Learning, Natural Language Processing

      4.5

      (376 reviews)

      Intermediate · Guided Project · Less Than 2 Hours

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      IBM Skills Network

      Deep Learning and Reinforcement Learning

      Skills you'll gain: Deep Learning, Machine Learning, Artificial Neural Networks, Computer Programming, Computer Vision, Python Programming, Reinforcement Learning, Statistical Programming

      4.5

      (131 reviews)

      Intermediate · Course · 1-3 Months

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    1…456…59

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

    • Building Deep Learning Models with TensorFlow: IBM Skills Network
    • Visual Perception for Self-Driving Cars: University of Toronto
    • Applied AI with DeepLearning: IBM Skills Network
    • 컨볼루션 신경망: DeepLearning.AI
    • Aerial Image Segmentation with PyTorch: Coursera Project Network
    • Deep Learning for Real Estate Price Prediction: Coursera Project Network
    • Deep Learning for Business: Yonsei University
    • Introduction to AI in the Data Center: NVIDIA
    • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning: DeepLearning.AI
    • Introduction to Deep Learning & Neural Networks with Keras: IBM Skills Network

    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.‎

    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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