Intro - Image Retrieval by Similarity using Tensorflow and Keras
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OfflineImage Retrieval by Similarity using Tensorflow and Keras
Intro - Image Retrieval by Similarity using Tensorflow and Keras
Oct 2, 2018 | 4:29 PM1:
Session 1.1 - Introduction
Oct 3, 2018 | 4:30 PM4:29
Session 1.2 - Variables,Placeholder and tensorflow session
Oct 3, 2018 | 4:32 PM8:40
Session 1.3 - Linear regression using tensorflow
Oct 3, 2018 | 4:33 PM7:39
Session 1.4 - Training Linear regression using tensorflow
Oct 3, 2018 | 4:33 PM3:45
Session 1.5 - Visualizing our linear regression equation
Oct 3, 2018 | 4:33 PM1:54
Session 2.1 - Intro to Mnist and one-hot encoding
Oct 3, 2018 | 4:37 PM15:2
Session 2.2 - Keras layers
Oct 3, 2018 | 4:38 PM18:58
Session 2.3 - Google Colab, model training and hyperparameters
Oct 3, 2018 | 4:38 PM9:6
Session 3.1 - Triplet Loss Introduction
Oct 4, 2018 | 7:08 AM11:39
Session 3.2 - Triplet Loss Coding
Oct 4, 2018 | 7:08 AM6:31
Session 4.1 - Representation of an image in co
Oct 4, 2018 | 7:09 AM1:35
Session 4.2 - Learning from little data
Oct 4, 2018 | 7:10 AM2:58
Session 4.3 - Image verification and image recognition
Oct 4, 2018 | 7:10 AM2:56
Session 4.4 - Challenge in image recognition
Oct 4, 2018 | 7:10 AM2:32
Session 5.1 - Image (open,read,resize)
Oct 4, 2018 | 7:19 AM15:43
Session 5.2 - Coding function to get image encodings
Oct 4, 2018 | 7:19 AM7:10
Session 5.3 - Similarity function
Oct 4, 2018 | 7:19 AM3:8
Session 5.4 - Data visualization and image encodings
Oct 4, 2018 | 7:19 AM7:32
Session 5.5 - Similarity matrix
Oct 4, 2018 | 7:19 AM10:35
Session 5.6 - Data preparation
Oct 4, 2018 | 7:19 AM5:19
Session 5.7 - Creating encodings for our database
Oct 4, 2018 | 7:19 AM8:22
Session 5.8 - Image retrieval
Oct 4, 2018 | 7:19 AM5:2
Session 5.9 - Increasing efficiency of this algorithm
Oct 4, 2018 | 7:19 AM2:50
Image Retrieval by Similarity using Tensorflow and Keras
- English
- Artificial Intelligence
Computer Vision- Project length: 2h 44m
Ever thought of creating your own face verification system? This project will teach you how to find similar images using similarity. These are the basics of face verification system. In the process you will also learn tensorflow and keras basics (build a linear regression model using tensorflow).
Overview
Image Retrieval by Similarity using Tensorflow and Keras
This tutorial will cover all the details (resources, tools, languages etc) that are necessary for image retrieval. You will be guided through all the steps and concepts, starting from the basic ones like setting up the right tools and frameworks to the more advanced topics related to the development.
What are the requirements?
- Python basics
- Tensorflow-Keras basics (will be covered in lesson too)
- Basic neural network concepts
- And the most important is: desire to learn
What is the target audience?
- Learners who want to enhance their knowledge
- This course will help the students who are doing their final projects
Project Outline
Session 1: Tensorflow basics
- Introduction
- Variables,Placeholder and tensorflow session
- Linear regression using tensorflow
- Training Linear regression using tensorflow
- Visualizing our linear regression equation
Session 2: Learning Keras through Classification on Mnist dataset
- Intro to Mnist and one-hot encoding
- Keras layers
- Google Colab, model training and hyperparameters
Session 3: Triplet Loss
- Triplet Loss Introduction
- Triplet Loss Coding
Session 4: Image Retrieval by Similarity Theory
- Representation of an image in computer
- Learning from little data.
- Image verification and image recognition
- Challenge in image recognition
- Siamese Network (One-shot learning)
Session 5: Image Retrieval by Similarity Coding
- Image: open,read,resize
- Coding function to get image encodings.
- Similarity function
- Data visualization and image encodings
- Similarity matrix
- Data preparation for
- Creating encodings for our dataase
- Image retrieval
- Increasing efficiency of this algorithm.