An Absolute Beginner's Guide to Deep Learning with Keras | Dr. Brian Spiering @ PyBay2018
This talk was presented at PyBay2018 - the Bay Area Regional Python conference. See pybay.com for more details about PyBay and click SHOW MORE for more information about this talk
Abstract
Interest in deep learning and building artificial intelligence (AI) based applications has been growing in the past few years. The Keras library makes these techniques accessible by offering a high-level API capable of running on top of TensorFlow, CNTK, or Theano. Similar to Python in general, Keras puts user experience front and center by having an API designed for human beings (not machines). This makes Keras perfect for easy and fast prototyping. Keras also highly modular and easy to extend to more complex deep learning models. This talk will be an introduction to neural networks and the Keras API for building them. We'll walk step-by-step how to build a convolutional neural net (CNN).
Slides: https://goo.gl/qJ9i55
Speaker Bio
Dr. Brian Spiering is a Professor of Computer Science at the University of San Francisco and freelance consultant. He teaches humans the languages of computers (primarily Python) and teaches computers the languages of humans (through Natural Language Processing and Artificial Intelligence). He is active in the San Francisco tech community through volunteering and mentoring.
This and other PyBay2018 videos are brought to you by our Gold Sponsor Cisco!
Видео An Absolute Beginner's Guide to Deep Learning with Keras | Dr. Brian Spiering @ PyBay2018 канала SF Python
Abstract
Interest in deep learning and building artificial intelligence (AI) based applications has been growing in the past few years. The Keras library makes these techniques accessible by offering a high-level API capable of running on top of TensorFlow, CNTK, or Theano. Similar to Python in general, Keras puts user experience front and center by having an API designed for human beings (not machines). This makes Keras perfect for easy and fast prototyping. Keras also highly modular and easy to extend to more complex deep learning models. This talk will be an introduction to neural networks and the Keras API for building them. We'll walk step-by-step how to build a convolutional neural net (CNN).
Slides: https://goo.gl/qJ9i55
Speaker Bio
Dr. Brian Spiering is a Professor of Computer Science at the University of San Francisco and freelance consultant. He teaches humans the languages of computers (primarily Python) and teaches computers the languages of humans (through Natural Language Processing and Artificial Intelligence). He is active in the San Francisco tech community through volunteering and mentoring.
This and other PyBay2018 videos are brought to you by our Gold Sponsor Cisco!
Видео An Absolute Beginner's Guide to Deep Learning with Keras | Dr. Brian Spiering @ PyBay2018 канала SF Python
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
Deep Learning: A Crash CourseDeep Learning with Python, TensorFlow, and Keras tutorialConvolutional Neural Networks - The Math of Intelligence (Week 4)Complete Python NumPy Tutorial (Creating Arrays, Indexing, Math, Statistics, Reshaping)RAAIS 2018 - François Chollet, Software Engineer at Google BrainKeras vs Tensorflow vs PyTorch | Deep Learning Frameworks Comparison | EdurekaTutorial 1- Introduction to Neural Network and Deep LearningConvolutional Neural Networks - Practical with KerasCreate a Simple Neural Network in Python from ScratchBasics of TensorFlow - TF Workshop - Session 1Learn Python - Full Course for Beginners [Tutorial]Keras vs Tensorflow | Deep Learning Frameworks Comparison | IntellipaatZero to Hero with KerasLoading in your own data - Deep Learning basics with Python, TensorFlow and Keras p.2How Deep Neural Networks WorkThe 7 steps of machine learningICML 2018: Tutorial Session: Toward the Theoretical Understanding of Deep LearningThe Absolutely Simplest Neural Network Backpropagation ExampleMIT Introduction to Deep Learning | 6.S191