Siamese Neural Networks clone the same neural network architecture and learn a distance metric on top of these representations. This model architecture is incredibly powerful for tasks such as one-shot classification. This is also a great step towards general…

A starter guide in handling QR codes in your Python app

If you have questions or want to make special travel arrangements, you can make them online or call ☎️+1-801-(855)-(5905)or +1-804-853-9001✅. For hearing or speech impaired assistance dial 711 to be connected through the National Relay Service.

Train an SSD Multibox object detector using a deep learning network architecture.

In this episode, we demonstrate how to build a simple convolutional neural network (CNN) and train it on images of cats and dogs using TensorFlow's Keras API.

🕒🦎 VIDEO SECTIONS 🦎🕒

00:00 Welcome to DEEPLIZARD - Go to deeplizard.com for learning resources…

This video shows how to set up a CONDA environment containing Keras/Tensorflow and several useful machine learning libraries. CONDA allows you to isolate the GPU drivers into a self-contained environment that greatly simplifies the installation process.…

Fingerprint recognition algorithm based on genetic algorithms and tools for filtering images using Python.

Classify heartbeat electrocardiogram data using deep learning and signal processing.

3D brain image preprocessing and training (coded when I was a sophomore) - RishalAggarwal/3D-Convnet-for-Alzheimer-s-Detection

State-of-the-art retinal vessel segmentation with minimalistic models - agaldran/lwnet

Today's state-of-the-art expert systems are plagued by four major problems: brittleness, lack of metaknowledge, knowledge acquisition, and validation. Knowledge acquisition by itself is a very time...

In Lecture 11 we move beyond image classification, and show how convolutional networks can be applied to other core computer vision tasks. We show how fully convolutional networks equipped with downsampling and upsampling layers can be used for semantic segmentation…

This is the first article of a multi-part series on using Python and Machine Learning to build models to predict weather temperatures based off data collected...

❤️ Check out Weights & Biases and sign up for a free demo here: https://www.wandb.com/papers
❤️ Their report for this paper is available here: https://wandb.ai/wandb/in-domain-gan/reports/In-Domain-GAN-Inversion--VmlldzoyODE5Mzk

📝 The paper "In-Domain GAN…

This video explains how FasterRCNN works and its step-by-step PyTorch implementation.
code: https://drive.google.com/open?id=1YTkLQlHbiltFtGRWmNZn6yk7YaGG2V8Y