Traditional Recurrent Neural Networks — Reinforcement Learning Part 1/3
Author(s): Shabarish PILKUN RAVI Source: Unsplash Deep Learning, Machine Learning Traditional Recurrent Neural Networks — Reinforcement Learning Part 1/3 This Blog will be a 3 part series where I will explain the different Reinforcement Learning Algorithms, Part 1: Explanation of the Traditional Recurrent Neural Networks.Part 2: …
Creating a Deep Learning Environment with a TensorFlow GPU
Last Updated on February 11, 2021 by Editorial Team Author(s): Buse Yaren Tekin Deep Learning Hi! In this article, we will talk about how we can create a deep learning environment for our machine. Before starting the article, I will give information …
In Data Science, Everything Is Connected!
Author(s): Ori Cohen How ideas are constantly used across research fields. Continue reading on Towards AI » Published via Towards AI …
Image Similarity With Deep Learning Explained
Author(s): Romain Futrzynski Deep Learning Recently I gave a Meetup talk where I discussed two of my favorite topics: neural networks and images. Since my company is launching a feature for image similarity, I thought I would sum up some ideas from …
Supervised Contrastive Learning for Cassava Leaf Disease Classification
Author(s): Dimitre Oliveira Deep Learning Applying deep learning with supervised contrastive learning to detect diseases on cassava leaves. Photo by malmanxx on Unsplash Supervised Contrastive Learning (Prannay Khosla et al.) is a training methodology that outperforms supervised training with cross-entropy on classification tasks.The idea …
Deep Hashing for Similarity Search
Author(s): Rutuja Shivraj Pawar DEEP LEARNING, COMPUTER VISION An overview of the novel deep hashing neural networks from the literature Photo by Tolga Ulkan on Unsplash In recent years Approximate Nearest Neighbor (ANN) [1] search has become a prominent topic of research to effectively …
The AI-Powered Online Fitting Room: VOGUE
Author(s): Louis (What’s AI) Bouchard Google used a modified StyleGAN2 architecture to create an online fitting room where you can automatically try-on any pants or shirts you… Continue reading on Towards AI » Published via Towards AI …
How GANs Are Capable of Creating Such High-Resolution Images
Author(s): Tim Cvetko Progressive growing as a solution to DCGAN creating high resolution images Continue reading on Towards AI » Published via Towards AI …
Image De-noising Using Deep Learning
Last Updated on January 23, 2021 by Editorial Team Author(s): Chintan Dave Computer Vision, Deep Learning Photo by Patrick Tomasso on Unsplash Denoising an image is a classical problem that researchers are trying to solve for decades. In earlier times, researchers used filters to …
Deploy Deep Learning Models Using Streamlit and Heroku
Author(s): Vatsal Saglani An effortless way to publish data apps to the internet. Continue reading on Towards AI » Published via Towards AI …
Find Unauthorized Constructions Using Aerial Photography and Deep Learning with Code (Part 2)
Author(s): Maciej Zieniewicz Check out how to use orthophoto images and officially available data sources to find buildings that lack a legal permit Continue reading on Towards AI » Published via Towards AI …
A Neural Network that Can Tell the Genres of a Movie
Author(s): Memphis Meng A way to introduce new movies to any recommendation system Continue reading on Towards AI » Published via Towards AI …
Find Unauthorized Constructions Using Aerial Photography and Deep Learning with Code (Part 1)
Author(s): Maciej Zieniewicz Check out how to use orthophoto images and officially available data sources to find buildings that lack a legal permit Continue reading on Towards AI » Published via Towards AI …
What is Deep Learning?
Source: Pixabay Diving into “what is deep learning” while providing an exciting and straightforward introduction to deep learning, how it works, and some example implementations Author(s): Saniya Parveez, Roberto Iriondo This tutorial’s code is available on Github and its full implementation as …
Step-by-step implementation of GANs on custom image data in PyTorch: Part 2
Author(s): Varshita Sher Learn about the different layers that go into GAN architecture, debug some common runtime errors, and develop in-depth intuition behind… Continue reading on Towards AI » Published via Towards AI …
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