What is teacher forcing? Teacher forcing is a training technique commonly used in machine learning, particularly in sequence-to-sequence models like…
What is mode collapse in Generative Adversarial Networks (GANs)? Mode collapse is a common issue in generative models, particularly in…
The need for continual learning In the ever-evolving landscape of machine learning and artificial intelligence, the ability to adapt and…
What is sequence-to-sequence? Sequence-to-sequence (Seq2Seq) is a deep learning architecture used in natural language processing (NLP) and other sequence modelling…
What is cross-entropy loss? Cross-entropy Loss, often called "cross-entropy," is a loss function commonly used in machine learning and deep…
What is natural language generation? Natural Language Generation (NLG) is a subfield of artificial intelligence (AI) and natural language processing…
What are loss functions? Loss functions, also known as a cost or objective functions, are critical component in training machine…
What is cross-lingual transfer learning? Cross-lingual transfer learning is a machine learning technique that involves transferring knowledge or models from…
In today's data-driven world, making sense of vast volumes of text data is paramount. Natural Language Processing (NLP) techniques are…
What is dropout in neural networks? Dropout is a regularization technique used in a neural network to prevent overfitting and…