Creating Interactive Visualizations of TensorFlow Keras datasets
Data scientists find some aspects of their job really frustrating. Data preprocessing is one of them, but the same is...
Category: Deep learning
Conditional GANs (cGANs) explained
Conditional Generative Adversarial Networks, or cGANs for short, improve regular or ‘vanilla’ GANs by adding a condition into the Generator...
An introduction to DCGANs
The class of Generative Adversarial Network models, or GANs, belongs to the toolbox of any advanced Deep Learning engineer these...
Generative Adversarial Networks, a gentle introduction
In the past few years, deep learning has revolutionalized the field of Machine Learning. They are about “discovering rich (…)...
Easy Chatbot with DialoGPT, Machine Learning and HuggingFace Transformers
These past few years, machine learning has boosted the field of Natural Language Processing via Transformers. Whether it’s Natural Language...
DialoGPT: Transformers for Dialogues
DialoGPT is “a tunable gigaword-scale neural network model for generation of conversational responses, trained on Reddit data”. It uses a...
Transformers for Long Text: Code Examples with Longformer
Transformer models have been boosting NLP for a few years now. Every now and then, new additions make them even...
Longformer: Transformers for Long Sequences
Transformers have really changed the NLP world, in part due to their self-attention component. But this component is problematic in...
Easy Table Parsing with TAPAS, Machine Learning and HuggingFace Transformers
Big documents often contain quite a few tables. Tables are useful: they can provide a structured overview of data that...
The TAPAS Transformer: Table Parsing with BERT
TAPAS (Table Parser) is a weakly supervised Transformer-based question answering model that reasons over tables without generating logical forms. Instead,...
