Training

Fundamentals of Deep Learning for Multiple Data Types.

About This Course

Course Code
NVFDLMDT

Course Type
Premium

Vendor
NVIDIA

Duration
1 Days

RRP
£1,145.00

Course Overview
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Overview

This workshop uses a series of hands-on exercises to teach deep learning techniques for a range of problems involving multiple data types. You will work with widely-used deep learning tools, frameworks, and workflows to perform neural network training on a fully-configured, GPU-accelerated workstation in the cloud. After a quick introduction to deep learning, you will advance to building deep learning applications for image segmentation, sentence generation, and image and video captioning — while simultaneously learning relevant computer vision, neural network, and natural language processing concepts.

At the end of the workshop, you will be able to assess a broad spectrum of problems where deep learning can be applied.

Objectives

At the conclusion of the workshop, you will have an understanding of the fundamentals of deep learning and be able to:

Why Deep Learning Institute Hands-On Training?

Certification

Course Outline

Introduction

Introduction to deep learning, situations in which it is useful, key terminology, industry trends, and challenges.

Image Segmentation with TensorFlow

Hands-on exercise: Segment MRI images to measure parts of the heart using tools such as TensorBoard and the TensorFlow Python API.

Word Generation with TensorFlow

Hands-on exercise: Train a recurrent neural network to understand both images and text, and to predict the next word of a sentence using the Microsoft Common Objects in Context MSCOCO dataset.

Image and Video Captioning

Hands-on exercise: Train a model that generates a description of an image from raw pixel data by combining outputs of multiple networks CNNs and RNNs through concatenation and/or averaging.

Summary

Tools, libraries, and frameworks: TensorFlow, TensorBoard.

Prerequisites

About This Course

Course Code
NVFDLMDT

Course Type
Premium

Vendor
NVIDIA

Duration
1 Days

RRP
£1,145.00

Course Overview
Download