Transfer Learning Based Automatic Model Creation Tool For Resource Constraint Devices

by   Karthik Bhat, et al.

With the enhancement of Machine Learning, many tools are being designed to assist developers to easily create their Machine Learning models. In this paper, we propose a novel method for auto creation of such custom models for constraint devices using transfer learning without the need to write any machine learning code. We share the architecture of our automatic model creation tool and the CNN Model created by it using pretrained models such as YAMNet and MobileNetV2 as feature extractors. Finally, we demonstrate accuracy and memory footprint of the model created from the tool by creating an Automatic Image and Audio classifier and report the results of our experiments using Stanford Cars and ESC-50 dataset.



There are no comments yet.


page 4


Cantonese Automatic Speech Recognition Using Transfer Learning from Mandarin

We propose a system to develop a basic automatic speech recognizer(ASR) ...

Recognition Of Surface Defects On Steel Sheet Using Transfer Learning

Automatic defect recognition is one of the research hotspots in steel pr...

AVATAR: Blender add-on for fast creation of 3D human models

Create an articulated and realistic human 3D model is a complicated task...

Towards Leveraging End-of-Life Tools as an Asset: Value Co-Creation based on Deep Learning in the Machining Industry

Sustainability is the key concept in the management of products that rea...

KUDO Interpreter Assist: Automated Real-time Support for Remote Interpretation

High-quality human interpretation requires linguistic and factual prepar...

Comparative Evaluation of Pretrained Transfer Learning Models on Automatic Short Answer Grading

Automatic Short Answer Grading (ASAG) is the process of grading the stud...

Reinforcement Learning Approach to Vibration Compensation for Dynamic Feed Drive Systems

Vibration compensation is important for many domains. For the machine to...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.