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Introduction

0:00

Kotlin for Data Science

3:15

Introduction to KotlinDL

4:32

Image Recognition with KotlinDL

10:23

ModelHubs: TensorFlow Model Hub and ONNX Model Hub

10:41

Difference between ResNet50 and ResNet152

14:04

Object Detection with SSD model

22:29

What is the model's input shape?

26:50

Object Detection with visualization on Swing JPanel

29:08

Image Preprocessing DSL

29:48

Q&A Part 1

32:31

Client-Server Image Recognition service with Ktor

37:01

Client-Server Object Detection POST request with Ktor

39:28

Single-Page Application for Object Detection with Ktor

43:17

We detected all persons who visited Wall Street one day

46:22

Q&A Part 2

52:07
Object Detection and Image Recognition with Kotlin
In this webinar, we will explore a deep learning library written in Kotlin, learn how to detect objects of different types in images, build predictive models on numeric data, and create a Kotlin Web Application using Ktor and KotlinDL, which will recognize animals on the photos. Speaker: Alexey Zinoviev   / zaleslaw   KotlinDL at GitHub: https://github.com/JetBrains/KotlinDL Demo: https://github.com/zaleslaw/Ktor-Kotl... Timeline: 0:00 Introduction 3:15 Kotlin for Data Science 4:32 Introduction to KotlinDL 10:23 Image Recognition with KotlinDL 10:41 ModelHubs: TensorFlow Model Hub and ONNX Model Hub 14:04 Difference between ResNet50 and ResNet152 22:29 Object Detection with SSD model 26:50 What is the model's input shape? 29:08 Object Detection with visualization on Swing JPanel 29:48 Image Preprocessing DSL 32:31 Q&A Part 1 37:01 Client-Server Image Recognition service with Ktor 39:28 Client-Server Object Detection POST request with Ktor 43:17 Single-Page Application for Object Detection with Ktor 46:22 We detected all persons who visited Wall Street one day 52:07 Q&A Part 2

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Kotlin by JetBrains

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