Fundamentals of Deep Learning for Computer Vision Eğitimi

  • Eğitim Tipi: Classroom / Virtual Classroom / Online
  • Süre: 1 Gün
  • PDF indir
  • Bu eğitimi kendi kurumunuzda planlayabilirsiniz. Bize Ulaşın!

This workshop teaches deep learning techniques for a range of computer vision tasks through a series of hands-on exercises. You will work with widely-used deep learning tools, frameworks, and workflows to train and deploy neural network models on a fully-configured, GPU-accelerated workstation in the
cloud. After a quick introduction to deep learning, you will advance to: building and deploying deep learning applications for image classification and object detection, modifying your neural networks to improve their accuracy and performance, and implementing the workflow you have learned on a final project.
At the end of the workshop, you will have access to additional resources to create new deep learning applications on your own.

  • Familiarity with programming fundamentals such as functions and variables

At the conclusion of the workshop, you will have an understanding of the fundamentals of deep learning and be able to:
  • Implement common deep learning workflows, such as image classification and object detection.
  • Experiment with data, training parameters, network structure, and other strategies to increase performance and capability of neural networks.
  • Integrate and deploy neural networks in your own applications to start solving sophisticated real-world problems.
Why Deep Learning Institute Hands-On Training?
  • Learn how to build deep learning and accelerated computing applications across a wide range of industry segments such as autonomous vehicles, digital content creation, finance, game development, and healthcare
  • Obtain guided hands-on experience using the most widely-used, industry-standard software, tools, and frameworks
  • Gain real-world expertise through content designed in collaboration with industry leaders including the Children’s Hospital Los Angeles, Mayo Clinic, and PwC
  • Earn NVIDIA DLI Certification to demonstrate your subject matter competency and support professional career growth
  • Access courses anywhere, anytime with a fully-configured, GPU-accelerated workstation in the cloud
Certification: Upon successful completion of the workshop, participants will receive NVIDIA DLI Certification to recognize subject matter competency and support professional career growth.

Introduction
  • Course overview
  • Getting started with deep learning
Introduction to deep learning, situations in which it is useful, key terminology, industry trends, and challenges.
Unlocking New Capabilities
  • Biological inspiration for deep neural networks (DNNs)
  • Training DNNs with big data
Hands-on exercise: training neural networks to perform image classification by harnessing the three main ingredients of deep learning: deep neural networks, big data, and the GPU
  • Deploying DNN models
Hands-on exercise: deployment of trained neural networks from their training environment into real applications.
Measuring and Improving Performance
  • Optimizing DNN performance
  • Incorporating object detection
Hands-on exercise: neural network performance optimization and applying DNNs to object detection.
Summary
  • Summary of key learnings
  • Review of concepts and practical takeaways
Assessment
  • Assessment project: train and deploy a deep neural network
  • Validate learnings by applying the deep learning application development workflow (load dataset, train and deploy model) to a new problem.
Next Steps
  • Workshop survey
  • Setting up your own GPU-enabled environment
  • Additional project ideas
Learn how to setup your GPU-enabled environment to begin work on your own projects. Explore additional project ideas along with resources to get started with NVIDIA AMI on the cloud, nvidia-docker, and the NVIDIA DIGITS container.
Tools, libraries, and frameworks: Caffe, DIGITS


Eğitimlerle ilgili bilgi almak ve diğer tüm sorularınız için bize ulaşın!

Fundamentals of Deep Learning for Computer Vision Eğitimi hakkında ilginizi çekebilecek yazılar

DEEP LEARNING & MACHINE LEARNING

Deep Learning & Machine Learning: Aralarındaki Fark Ne? Deep learning ve machine learning - yani derin öğrenme ve makine öğrenmesi - arasındaki fark ne? Birbirlerinden ne kadar farklılar veya ne kadar benziyorlar? Machine learning ve deep learni...

YAPAY ZEKÂ VE TÜRLERİ

YAPAY ZEK VE TÜRLERİ Yapay zekânın - AI temel kategorilerini, nasıl çalıştıklarını ve neye katkı sağladıklarını biliyor musunuz? Yapay zekâyı; Machine Learning, Deep Learning, Natural Language Processing, Computer Vision ve Explainable AI olarak be...

FARKLI ALANLARDA COMPUTER VISION

FARKLI ALANLARDA COMPUTER VISION UYGULAMALARIComputer Vision teknolojinin hızla büyümekte olan ve bir çok farklı sektörle iç içe olan alanlarından biri. İç içe olduğu sektörlerdeki uygulamalarının artması da aynı şekilde Computer Vision’un büyümesini...

YAPAY ZEKÂ UYGULAMA ALANLARI

Yapay Zekâ Uygulama Alanları Yapay zekâ (Artificial Intelligence) kavramı son zamanlarda oldukça yaygınlaşmış, tabiri caizse oldukça trend olmuş bir kavramdır. Bilişim sektörüne hiç ilginiz olmasa bile büyük ihtimalle günlük hayatınızda onlarca kez ...

COMPUTER VISION NEDİR? NERELERDE KULLANILIR?

Computer Vision yani bilgisayar görüşü, bilgisayarların insanlar gibi gördükleri objeleri tanımlayabilmesine ve işleyebilmesine yarayan teknolojilerle ilgilenen bilgisayar bilimi alanıdır. Görüntüyü edinmek, işlemek, analiz etmek, anlamak, resimlerde...

DERİN DÜŞÜNCE'DEN DERİN ÖĞRENME'YE

Yazıya başlamadan önce şunu belirtmeliyim ki “Otostopçunun Galaksi Rehberi”, bilim kurgu türünde yazılmış ve bu türe yön vermiş yapı taşı eserlerden birisidir. Kendisi aynı zamanda benim de en favori kitabım olmakla beraber, Douglas Adams’ın absürtlü...