Deep Learning

Get started with Streamlit, an open-source framework for building with machine learning and computer vision.

Learn the ins and outs of Kaggle, including finding useful datasets for ML projects and partaking in competitions.

Capsule Networks tries to solve the limitations of CNNs by preserving information, using a routing algorithm.

Attention mechanisms enable models to focus on specific parts of input data, enhancing their ability to process sequences effectively.

Batch normalization, CNN, neural network, network layers, deep learning method, gradient descent, convolutional neural networks

Representation learning is a subfield of machine learning focused on transforming data into compressed representations.

Explore the 2024 Guide to Foundation Models in AI, delving into their definition, scope, and training processes. Discover practical use cases and applications across language models like GPT and BERT, vision models such as ResNET, and multimodal models like CLIP. Stay ahead with insights on emerging trends and future research in foundation models.

Grounded-SAM offers the best of both worlds in image segmentation, combining Grounding DINO with Segmentation Anything.

Swarm intelligence allows collaboration within social groups. Learn how nature-inspired algorithms guide solutions to complex challenges.