Master Generative AI with 10+ Real-world Projects in 2025!
In this article, we are going to build a model that will be used to solve unsolved Sudoku puzzles from an image using deep learning
Artificial Neural Network is a set of algorithms. This article is a beginners guide to learn about the basics of ANN and its working
Here, we will explore how the generator and discriminator models work. We will also see the python implementation of Gan model Using pytorch.
In this blog we are going to learn about Prediction using neural network and hyperparameter optimization using Talos for data scientists
Learn all about deep learning and master skills such as neural networks and NLP with our expertly curated list of 7 best books on the topic.
In this article, we will use Bidirectional Encoder Representations from Transformers for Natural Language Inference task with pytorch .
This article is an introduction to transfer learning in which We shall work with the popular MNIST dataset and perform Transfer Learning.
We will learn what is SRt and generate questions from SRT files of movies. For this NLP project we will use punkt and Transformer
In this article, we shall take a practical approach to learn and train a simple model of CNN. We will use a dataset for Pneumonia prediction.
we are presenting an experiment on traditional vs deep learning classification models. Here, we are using the amazon reviews dataset.
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