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

Clock2 hours
BeginnerBeginner
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop 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 LearningMachine LearningPython ProgrammingArtificial 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

Frequently asked questions

Frequently Asked Questions

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