Practical Transfer Learning (Deep Learning) in Python

Last updated 11/2022Duration: 5h 46m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 2.98 GBGenre: eLearning | Language: English

Don't Be Hero - Next Frontier in Deep Learning Image Classification and Object Detection Problems solution - Keras

What you'll learn

Transfer Learning for Image Classification

Google Teachable Machine

Transfer Learning in Python

Deep Learning on Steroid

Requirements

Basic Understanding of Python

Basic Understanding of Machine Learning Terms

Some Idea on CNN models

Description

Don't be Hero . as It is well said..

Let;s Enroll and utilize works of Hero for our problems.

Everyone can not do research like Yann Lecun or Andrew Ng. They are focused on improving machine learning algorithms for better world.

But as an individual and for industry, we are more concern with specific application and its accuracy.

Transfer Learning is the solution for many existing problems. Transfer learning uses existing knowledge of previously learned model to new frontier.

I will demonstrate code to do Transfer Learning in Image Classification.

Knowledge gain to recognize cycle and bike can be used to recognize car.

There are various ways we can achieve transfer learning. I will discuss Pre trained model, Fine tunning and feature extraction techniques.

Once again. Let's not be Hero . and enroll in this course.

Who this course is for

Deep Learning Enthusiastic

Anyone who want to jump start Machine Learning