Master Generative AI with 10+ Real-world Projects in 2025!
We will build a very simple speech to text converter, that takes our voice as input and produces the corresponding text by hearing the input.
Image Segmentation helps to obtain the region of interest (ROI) from the image. It is the process of separating an image into different areas.
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.
In this article we will pick the use case of sequence modelling. We will perform web traffic forecasting with the help of deep learning models
In this article we will develop a Convolutional neural networks model in PyTorch for the classification of Cifar10 dataset.
The deep learning algorithms required the data in a specific order or shape. Here, we will learn about the torch dataset and dataloader class.
Explore about Artificial Neural Networks (ANN) and how they can revolutionize data analysis and prediction. Start Reading Now!
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.
Edit
Resend OTP
Resend OTP in 45s