Building a dog search engine with FaceNet

Building a dog search engine with FaceNet

FaceNet is currently the state-of-the-art for face recognition. It is widely used in several off-the-shelf products. FaceNet is a neural network that learns to represent or encode images in a lower dimensional “embedding” space in such a manner that images of the same face are closer to each other.

Paper To Code implementation of Facenet on dog-face dataset using custom online Hard-Triplet mining

FaceNet is currently the state-of-the-art for face recognition. It is widely used in several off-the-shelf products.

“FaceNet … directly learns a _**_mapping**_ from face images to a compact Euclidean space where distances directly correspond to a measure of face similarity. Once this space has been produced, tasks such as face recognition, verification and clustering can be easily implemented using standard techniques with FaceNet embeddings as feature vectors” — FaceNet paper_

FaceNet is a neural network that learns to represent or encode images in a lower dimensional “embedding” space in such a manner that images of the same face are closer to each other. This ability of facenet to effectively generate such encoded representations of faces (embeddings) makes it suitable for one-shot classification i.e, to build a face recognition system, the model would need just one image of a face to generate an embedding. This can then be compared to that of a set of image embeddings to see if it is close to another image in latent/embedding space.

pytorch deep-learning neural-networks data-science face-recognition

Bootstrap 5 Complete Course with Examples

Bootstrap 5 Tutorial - Bootstrap 5 Crash Course for Beginners

Nest.JS Tutorial for Beginners

Hello Vue 3: A First Look at Vue 3 and the Composition API

Building a simple Applications with Vue 3

Deno Crash Course: Explore Deno and Create a full REST API with Deno

How to Build a Real-time Chat App with Deno and WebSockets

Convert HTML to Markdown Online

HTML entity encoder decoder Online

PyTorch for Deep Learning | Data Science | Machine Learning | Python

PyTorch for Deep Learning | Data Science | Machine Learning | Python. PyTorch is a library in Python which provides tools to build deep learning models. What python does for programming PyTorch does for deep learning. Python is a very flexible language for programming and just like python, the PyTorch library provides flexible tools for deep learning.

Deep Learning 101 —  Neural Networks Explained

The past few decades have witnessed a massive boom in the penetration as well as the power of computation, and amidst this information.

Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data

Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data

Artificial Neural Networks — Recurrent Neural Networks

Artificial Neural Networks — Recurrent Neural Networks. Remembering the history and predicting the future with neural networks. A intuition behind Recurrent neural networks.

Deep Learning with scikit-learn

Deep Learning with scikit-learn: PyTorch, TensorFlow and Caffe aren’t the only frameworks for Deep Learning. There is also a l library with a scikit-learn like API.