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Practical Transfer Learning ( Deep Learning )in Python

Practical Transfer Learning ( Deep Learning )in Python
Practical Transfer Learning ( Deep Learning )in Python

Practical Transfer Learning ( Deep Learning )in Python

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

What you’ll learn

Practical Transfer Learning ( Deep Learning )in Python

  • 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 Ideas on CNN models

Description

Don’t be a Hero . as It is well said.

Let’s Enroll and utilize the 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 a better world.

But as an individual and for industry, we are more concerned with specific applications and their accuracy.

Transfer Learning is the solution to many existing problems. Transferring learning uses existing knowledge of previously learned models to a new frontier.

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

Knowledge gained to recognize cycles and bikes can be used to acknowledge cars.

There are various ways we can achieve transfer learning. I will discuss the Pre-trained models, Fine-tuning, and feature extraction techniques.

Once again. Let’s not be Heroes. and enroll in this course.

Once again. Let’s not be Heroes. and enroll in this course.

Who this course is for:

  • Anyone who wants to jump-start Machine Learning

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