Master Generative AI with 10+ Real-world Projects in 2025!
In this project, we are going to train the Resnet-18 model for image classification using FastAI.jl from the ImageNet dataset.
In this article we will understand the Bert tokenizer. For transformers the input is an important aspect and tokenizer libraries are crucial.
Here, we will deep dive into the Transformers library and explore how to use available pre-trained models and tokenizers from ModelHub.
Graph neural networks (GNNs) are deep learning-based methods that operate on graph domains. Here, we will see an introduction to GNNs.
Posenet is a real-time pose detection technique with which you can detect human poses in Image or Video. let's make a real-time project.
Here we will be Designing a deep learning model that will predict mRNA degradation rates for each base of an RNA molecule with Eterna dataset.
Optuna is a state-of-the-art automatic hyperparameter tuning framework that is completely written in Python. It is widely used. Optimize Now with Optuna!
NLP helps computers understand, interpret human language. Here, we will explore some text pre-processing techniques in NLP.
In this article, we are going to perform Sentence Classification Natural Language Processing Using Convolutional Neural Networks(CNNs)
There are a set of methods that are mainly used for improving image quality for computer vision tasks like binarization, Rescaling
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