Training WGAN-GP to Generate Fake People portrait images
Author(s): Rokas Liuberskis Originally published on Towards AI. We’ll cover more advanced Generative Adversarial Network techniques WGAN-GP. We’ll train it on a popular celebA human portrait dataset. In the previous post, we covered simple DCGAN, and I gave you a simple example …
Some Insights into Recent Development and Novel Approaches to Short Text Classification.
Author(s): Abdul Basit Originally published on Towards AI. Short text classification is one of the most challenging areas in Natural language processing. It poses some unique challenges as compared to text classification because in standard text classification, the context is available, but …
4 Things to Know about Large Language Models
Author(s): Harshit Sharma Originally published on Towards AI. Amidst the LLM hype, there are interesting “things” to know about the LLMs, as mentioned in a recent paper by Samuel from Anthropic: The paper can be found at https://arxiv.org/pdf/2304.00612.pdf There are 8 things …
Vector Quantization & VQ-GAN
Author(s): Jack Saunders Originally published on Towards AI. Towards Generating Ultra-High Resolution Talking-Face Videos with Lip-Synchronization Results of this paper on a section of silence. on a section Image Credits: Gupta et. al. Towards Generating Ultra-High Resolution Talking-Face Videos with Lip Synchronization …
Policy Gradient Algorithm’s Mathematics Explained with PyTorch Implementation
Author(s): Ebrahim Pichka Originally published on Towards AI. Image generated by midjourney Table of Content · Introduction· Policy Gradient Method ∘ Derivation ∘ Optimization ∘ The Algorithm· PyTorch Implementation ∘ Networks ∘ Training Loop (Main algorithm) ∘ Training Results· Conclusion· References Introduction …
From Pixels to Artificial Perception
Author(s): Ali Moezzi Originally published on Towards AI. Understanding Computer Vision Fundamentals: An Introduction to Image Intrinsic, Representation, Features, Filters and Morphological Operations Computer vision is a fascinating field that aims to teach machines how to “see” the world as we do. …
This AI newsletter is all you need #47
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week AI progress continued down dual paths with significant advancements in open-source models together with developments at companies like Anthropic, Google, and Meta …
From Novice to Expert: A Comprehensive Step-by-Step Study Plan for Mastering LLMs
Author(s): Youssef Hosni Originally published on Towards AI. Table of Contents: Mastering Large Language Models (LLMs) is a compelling endeavor in the realm of Natural Language Processing (NLP). Whether you’re new to the field or have some experience, this article presents …
This AI newsletter is all you need #46
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week we were interested to see some of the latest advancements in NLP and LLMs being applied to biology and medicine. OpenAI was …
Deep Learning from Scratch in Modern C++: Gradient Descent
Author(s): Luiz doleron Originally published on Towards AI. Let’s have fun by implementing Gradient Descent in pure C++ and Eigen. In this story, we will cover the fitting of 2D convolution kernels from data by introducing the Gradient Descent algorithm. We will …
How To Get Started With Computer Vision In 2023?
Author(s): Hasib Zunair Originally published on Towards AI. A zero to a non-zero roadmap to becoming a computer vision engineer or researcher in 2023. Know what to learn and how to apply the learned skills in real-world projects to get into industry …
Compare and Evaluate Object Detection Models From TorchVision
Author(s): Abby Morgan Originally published on Towards AI. Visualizing the performance of Fast RCNN, Faster RCNN, Mask RCNN, RetinaNet, and FCOS Comparing object detection models from PyTorch; Image by author Introduction Object detection is one of the most popular applications of machine …
Deep Learning from Scratch in Modern C++: Convolutions
Author(s): Luiz doleron Originally published on Towards AI. Let’s have fun by implementing 2D Convolution in C++. In the previous story, we covered some of the most relevant coding aspects of machine learning such as functional programming, vectorization, and linear algebra programming. …
Deep Learning from Scratch in Modern C++
Author(s): Luiz doleron Originally published on Towards AI. Let’s have fun by implementing Deep Learning models in C++. It is needless to say how relevant machine learning frameworks are for research and industry. Due to their extensibility and flexibility, it is rare …
This AI newsletter is all you need #45
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week witnessed several releases and developments in AI models, continuing the trend of open-source model alternatives. Among these, two popular consumer-facing LLM-based products, …
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