A tutorial on fine-tuning Microsoft's LayoutLM model for document understanding using TensorFlow, Keras, and the FUNSD dataset.
Argues that separating 'loss functions' from models is a flawed abstraction in deep learning systems, proposing a more flexible design.
A tutorial on using Sentence Transformers models with TensorFlow and Keras to create text embeddings for semantic search and similarity tasks.
A tutorial on fine-tuning a Hugging Face Transformer model for financial text summarization using Keras and Amazon SageMaker.
A tutorial on fine-tuning a Vision Transformer (ViT) model for satellite image classification using Hugging Face Transformers and Keras.
A tutorial on fine-tuning a non-English BERT model using Hugging Face Transformers and Keras for Named Entity Recognition tasks.
A guide for beginners on how to start learning deep learning using the Keras library, including recommended resources and prerequisites.
Announcing the launch of a product image classification API for fashion, built with deep learning, with details on performance and usage.
Explores Visual Question Answering (VQA) as an alternative Turing Test, detailing neural network approaches using Python and Keras.
