Virtual try-on Glasses with JavaScript
Author(s): Benson Ruan Originally published on Towards AI. Utilize AR and 3D for a seamless shopping experience Photo by Lisa Fotios from Pexel E-commerce has become an important part of our lives, offering convenience and accessibility. However, one significant challenge in online …
How I Created an Animation Of the Embeddings During Fine-Tuning
Author(s): Markus Stoll Originally published on Towards AI. Using Cleanlab, PCA, and Procrustes to visualize ViT fine-tuning on CIFAR-10 In the field of machine learning, Vision Transformers (ViT) are a type of model used for image classification. Unlike traditional convolutional neural networks, …
Meta Releases LLaMA 2: Free For Commercial Use
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Llama 2, the next generation of our open-source large language model This will be a quick one, Meta releases the new version of LLaMA. This version will be known as LLaMA …
Backpropagation and Vanishing Gradient Problem in RNN (Part 2)
Author(s): Alexey Kravets Originally published on Towards AI. How it is reduced in LSTM https://unsplash.com/photos/B22I8wnon34 In part 1 of this series, we went through back-propagation in an RNN model and explained both with formulas and showed numerically the vanishing gradient problem in …
Using a Keras Tuner for Hyperparameter Tuning of a TensorFlow Model
Author(s): Rashida Nasrin Sucky Originally published on Towards AI. Use of Hyperband Tuner with Complete Code Photo by Will Francis on Unsplash TensorFlow can be highly efficient, but the process of finding the right parameters can be very tiring and tedious. On …
This AI newsletter is all you need #56
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week we saw several new competitors in the world of LLMs, in both open-source and closed models. Despite its impressive capabilities, the first …
Manipulate Images with Blobs! BlobGAN Explained
Author(s): Louis Bouchard Originally published on Towards AI. A GAN model that uses simple blobs to manipulate objects in images… Originally published on louisbouchard.ai, read it 2 days before on my blog! If you think that the progress with GANs was over, …
HydraSum: Disentangling Stylistic Features in Text Summarization… (Paper Review/Described)
Author(s): Ala Alam Falaki Originally published on Towards AI. Training Is it possible to train a model with transformer architecture to learn generating summaries with different styles? Figure 1. The multi-decoder architecture scheme. (Image from [1]) While it’s true that deep learning …
MITACS Globalink Research Internship | How to get one?
Author(s): Raman Jha Originally published on Towards AI. MITACS Globalink Research Internship U+007C How to get one? Mitacs Globalink Research Internship Let me introduce myself first. Hey there, I am Raman Jha, a junior year Bachelor of Engineering student at D Y …
Learnings From Participation in My First Health Datathon
Author(s): Carla Martins Originally published on Towards AI. 4th Datathon ESICM 2022 In May 2022, and for the first time, I enrolled in a Health Datathon organized by ESICM (European Society of Intensive Care Medicine). This was my first Datathon, and a …
How to collect free-text feedback: an introduction for a data scientist
Author(s): Anil Tilbe Originally published on Towards AI. Understand how to develop technical learning systems to collect free-text, open-ended responses from users. Photo by Emily Morter from Unsplash To truly understand the type of measurement framework to implement for how to solicit …
ArgMiner: End-to-End Argument Mining
Author(s): Yousef Nami Originally published on Towards AI. A PyTorch-based package for processing, augmenting, training, and performing inference on SOTA Argument Mining datasets A pictorial representation of the task of Argument Mining Argument Mining (AM) is the task of extracting argument components …
XGBoost: Its Present-day Powers and Use Cases for Machine Learning
Author(s): Anil Tilbe Originally published on Towards AI. Being that XGBoost achieves implementations with the ability to handle missing values, which are one of the major drawbacks in most of the other algorithms, scalabilities, not just time-efficiencies, are very promising for the …
Zero-shot Learning Deep Dive: How to Select One and Present-day Challenges
Author(s): Anil Tilbe Originally published on Towards AI. How to build the learning into a zero-shot classifier with just a few hundred labeled instances per class? First, we have to clarify at a high level the difference between zero-shot learning and deep …
What is the article’s topic means?
Author(s): Akash Dawari Originally published on Towards AI. Quantify the Performance of Classifiers In this article, we will discuss the following question and try to find the answer to them. What is the article’s topic means? What is a confusion matrix? What …
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