What is Explainable Artificial Intelligence (XAI), what are the most popular methods, where and how can it be applied
An overview of the most popular optimization algorithms for training deep neural networks. From stohastic gradient descent to Adam, AdaBelief and second-order optimization
How can we efficiently train very deep neural network architectures? What are the best in-layer normalization options? We gathered all you need about normalization in transformers, recurrent neural nets, convolutional neural networks.
What is behind the NALU Deepmind paper
How deep learning is changing the world
How to buld a Convolutional neural network library using C++ and OpenCL
How to buld a neural network library using C++ and OpenCL
Use unsupervised learning to cluster documents based on their content