Transfer Learning for Food Classification

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In this Guided Project, you will:

Understand the theory and intuition behind Convolutional Neural Networks (CNNs) and transfer learning

Build and train a Deep Learning Model using Pre-Trained InceptionResnetV2

Assess the performance of trained CNN using various Key performance indicators

2 hours
Beginner
No download needed
Split-screen video
English
Desktop only

In this hands-on project, we will train a deep learning model to predict the type of food and then fine tune the model to improve its performance. This project could be practically applied in food industry to detect the type and quality of food. In this 2-hours long project-based course, you will be able to: - Understand the theory and intuition behind Convolutional Neural Networks (CNNs). - Understand the theory and intuition behind transfer learning. - Import Key libraries, dataset and visualize images. - Perform data augmentation. - Build a Deep Learning Model using Pre-Trained InceptionResnetV2. - Compile and fit Deep Learning model to training data. - Assess the performance of trained CNN and ensure its generalization using various KPIs.

Skills you will develop

  • Deep Learning

  • Machine Learning

  • Python Programming

  • Artificial Intelligence(AI)

  • Computer Vision

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Understand the Problem Statement and Business Case

  2. Import Libraries and Datasets

  3. Perform Data Exploration and Visualization

  4. Perform Image Augmentation and Create Data Generator

  5. Understand the theory and intuition behind Transfer Learning

  6. Build Deep Learning model using Pre-trained Inception ResNet

  7. Compile and Train Deep Learning Model

  8. Fine Tune the Trained Model

  9. Assess the Performance of the Trained Model

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

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Frequently asked questions

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Yes, everything you need to complete your Guided Project will be available in a cloud desktop that is available in your browser.

You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.

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