Fundamentals of Deep Learning, America

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usinesses worldwide are using artificial intelligence (AI) to solve their greatest challenges. Healthcare professionals use AI to enable more accurate, faster diagnoses in patients. Retail businesses use it to offer personalized customer shopping experiences. Automakers use it to make personal vehicles, shared mobility, and delivery services safer and more efficient. Deep learning is a powerful AI approach that uses multi-layered artificial neural networks to deliver state-of-the-art accuracy in tasks such as object detection, speech recognition, and language translation. Using deep learning, computers can learn and recognize patterns from data that are considered too complex or subtle for expert-written software.

In this workshop, you’ll learn how deep learning works through hands-on exercises in computer vision and natural language processing. You’ll train deep learning models from scratch, learning tools and tricks to achieve highly accurate results. You’ll also learn to leverage freely available, state-of-the-art pre-trained models to save time and get your deep learning application up and running quickly.

Assessment type:

Skills-based coding assessments evaluate students’ ability to train a deep learning model to high accuracy.

Certificate:

Upon successful completion of the assessment, participants will receive an NVIDIA DLI certificate to recognize their subject matter competency and support professional career growth.

Why Choose NVIDIA Deep Learning Institute for Hands-On Training?

Access workshops from anywhere with just your desktop/laptop computer and an internet connection. Each participant will have access to a fully configured, GPU-accelerated workstation in the cloud.
Obtain hands-on experience with the most widely used, industry-standard software, tools, and frameworks.
Learn to build deep learning and accelerated computing applications for industries, such as healthcare, robotics, manufacturing, accelerated computing, and more.
Gain real-world expertise through content designed in collaboration with industry leaders, such as the Children’s Hospital of Los Angeles, Mayo Clinic, and PwC.
Earn an NVIDIA Deep Learning Institute certificate to demonstrate your subject matter competency and support your career growth.

An understanding of fundamental programming concepts in Python such as functions, loops, dictionaries, and arrays.

Learn the fundamental techniques and tools required to train a deep learning model
Gain experience with common deep learning data types and model architectures
Enhance datasets through data augmentation to improve model accuracy
Leverage transfer learning between models to achieve efficient results with less data and computation
Build confidence to take on your own project with a modern deep learning framework

Introduction

Meet the instructor.
Create an account at courses.nvidia.com/join

The Mechanics of Deep Learning

Explore the fundamental mechanics and tools involved in successfully training deep neural networks:

Train your first computer vision model to learn the process of training.
Introduce convolutional neural networks to improve accuracy of predictions in vision applications.
Apply data augmentation to enhance a dataset and improve model generalization

Pre-trained Models and Recurrent Networks
Leverage pre-trained models to solve deep learning challenges quickly. Train recurrent neural networks on sequential data:

Integrate a pre-trained image classification model to create an automatic doggy door.
Leverage transfer learning to create a personalized doggy door that only lets in your dog.
Train a model to autocomplete text based on New York Times headlines.

Final Project: Image Captioning

Apply computer vision and natural language processing to automatically caption images.
Create and train an advanced model with multiple input layers and data types.
Build training sequences that join image and language data.
Improve training speed by combining transfer learning and feature extraction.

Final Review

Review key learnings and answer questions.
Complete the assessment and earn a certificate.
Complete the workshop survey.
Learn how to set up your own AI application development environment.

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I have attended a training from Bilginc IT Academy before and I was satisfied.

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How many employees do you have in your IT department?

0 – 50

50 – 250

250 – 1000

1000+

Fundamentals of Deep Learning Training Course in the United States

The United States of America (USA) is a country in North America and a federal republic of 50 states. At almost 9.8 million square kilometers, the United States is one of the world’s biggest and most populous countries. While America’s capital city is Washington, D.C., some of its well known cities are New York, Los Angeles, Miami, Chicago, Orlando, Las Vegas, Dallas, San Francisco and Kansas City.

The most iconic symbol of the country is probably the Statue of Liberty in New York and it was gifted by France. Despite the fact that English is the most widely used language in the United States, there is no official language. Independent since July 4, 1776, USA’s motto is “In God We Trust” and their current president is Joe Biden. Some of the best places to visit in the United States are Grand Canyon, Yosemite, Maui, New Orleans, Honolulu, Zion National Park, Kauai, Lake Tahoe, Aspen, Big Sur and Santa Fe.

Achieve your IT goals through our versatile courses, spanning programming, data analytics, software development, business skills, cloud computing, cybersecurity, project management. Benefit from the flexibility of hosting training at your preferred location within United States, where our experienced instructors will provide hands-on learning and practical expertise.

Fundamentals of Deep Learning Training in United States of America

Assessment type:

Certificate:

Upcoming Trainings

Fundamentals of Deep Learning Training in United States of America

Assessment type:

Certificate:

Prerequisites

What You Will Learn

Outline

DEEP LEARNING CONCEPTS

Upcoming Trainings