Sandamini NayanatharaDeep Learning for Natural Language Processing: Beyond BERT and GPT-3Introduction3d ago3d ago
Sandamini NayanatharaNeural Architecture Search (NAS): Automating the Design of Deep Neural NetworksIntroduction3d ago3d ago
Sandamini NayanatharaReinforcement Learning: Cutting-Edge Techniques and ApplicationsIntroduction3d ago3d ago
Sandamini NayanatharaMachine Learning for Edge Computing: Challenges and SolutionsThe proliferation of Internet of Things (IoT) devices and the need for real-time decision-making have driven the adoption of edge…3d ago3d ago
Sandamini NayanatharaTransfer Learning in Practice: Leveraging Pre-Trained Models for Custom TasksTransfer learning has revolutionized the field of machine learning, allowing models to leverage knowledge from pre-trained models and apply…3d ago3d ago
Sandamini NayanatharaAutomated Machine Learning (AutoML): State-of-the-Art Tools and TechniquesAutomated Machine Learning (AutoML) has emerged as a transformative approach in the field of data science, democratizing access to machine…3d ago3d ago
Sandamini NayanatharaGenerative Adversarial Networks (GANs): Applications and InnovationsGenerative Adversarial Networks (GANs) have revolutionized the field of artificial intelligence, offering a powerful framework for…Aug 4Aug 4
Sandamini NayanatharaModel Interpretability: Explaining Machine Learning Models with SHAP and LIMEAs machine learning models become increasingly complex, understanding and explaining their predictions is crucial for ensuring transparency…Aug 4Aug 4
Sandamini NayanatharaFlutter Web: Best Practices for Building Progressive Web AppsFlutter, originally designed for building cross-platform mobile apps, has extended its reach to the web, enabling developers to create…Aug 4Aug 4
Sandamini NayanatharaOptimizing React Performance: Advanced Techniques for Speed and EfficiencyAs React applications grow in complexity, maintaining optimal performance becomes increasingly challenging. Ensuring a smooth user…Aug 4Aug 4