Use Convolutional Recurrent Neural Network to recognize the Handwritten line text image without pre segmentation into words or characters. Use CTC loss Function to train. What is covered here: Offline Handwritten Recognition Understand the detailed architecture of the Handwritten Recognition system. How to use the Data Augmentation technique to increase…

Bard seeks to combine the breadth of the world’s knowledge with the power, intelligence, and creativity of our large language models — Sundar Pichai Google launched Bard, its own language-based conversational AI, in the midst of a controversy about how AI is being utilized more and more. Chat GPT is…

Walk through the essential ideas, along with their explanations. Current deep networks are extremely data-hungry, benefiting from training on large-scale datasets, which are time consuming to annotate and expensive too. So, DatasetGAN only needs a few labeled examples to learn how to generalize. This makes it possible to create an…

Go through the vision transformer architecture, concepts, and major steps Vision transformers (ViTs) extract patches from images and feed them into a transformer encoder to obtain a global representation, which will finally be transformed for classification. The main idea is how we can use a transformer for image classification tasks…

Explanation of SinGAN’s operation, architecture, and key principles, including mathematical equation details. You’re astounded, aren’t you? With a single training image, it is possible to generate realistic image creation, in contrast to deep GAN, which requires a significant amount of data. In this post, we will look into the SinGAN…

Walkthrough StackGAN formulation, concepts, and equation in great detail. Isn’t it a fascinating result? GAN creates output according to the text description you provide. Let’s see how StackGAN generates that output in a simple way. You will not be bored, believe me. StackGAN synthesizes photo-realistic images from text descriptions in…

The understanding basic intuition behind Progressive Growing of GANS. — ProGAN stands for 𝑷𝒓𝒐𝒈𝒓𝒆𝒔𝒔𝒊𝒗𝒆 𝑮𝒓𝒐𝒘𝒊𝒏𝒈 𝒐𝒇 𝑮𝑨𝑵𝒔. This is a significant contribution to GANS. Researchers at Nvidia implement this concept where GANs grow progressively during training to generate large resolution images (e.g. 1024x1024) and presented at the 6th International Conference on Learning Representations (ICLR). …

Simple explanation behind the idea of neural style transfer and implementation with PyTorch. Introduction Neural Style Transfer, in short NST, is an interesting idea where neural networks learn to transfer style i.e. it learns how to paint and generate a new image with a unique painting. The concept of style transfer…

You have probably heard about deep fake videos or visit thispersondoesnotexit, where GAN is used to create those. Isn’t that Interesting. In this post, we will discuss the basic intuition behind GAN in-depth, its implementation in Tensorflow. Let’s get started. Generative Adversarial Networks, in short, GAN are an approach to…