ICCV 2023 top papers, general trends, and personal picks
Do you want to learn all the latest state-of-the-art methods of the last year? Learn about the best and most famous papers that made the cut from this year’s ICCV. See the latest trends in AI and computer vision.
Understanding Maximum Likelihood Estimation in Supervised Learning
This article demystifies the ML learning modeling process under the prism of statistics. We will understand how our assumptions on the data enable us to create meaningful optimization problems.
Neural Architecture Search (NAS): basic principles and different approaches
Explore what is neural architecture search, compare the most popular,SOTA methodologies and implement it with nni
Spiking Neural Networks: where neuroscience meets artificial intelligence
Discorver how to formulate and train Spiking Neural Networks (SNNs) using the LIF model, and how to encode data so that it can be processed by SNNs
Regularization techniques for training deep neural networks
Discover what is regularization, why it is necessary in deep neural networks and explore the most frequently used strategies: L1, L2, dropout, stohastic depth, early stopping and more
Explainable AI (XAI): A survey of recents methods, applications and frameworks
What is Explainable Artificial Intelligence (XAI), what are the most popular methods, where and how can it be applied
A journey into Optimization algorithms for Deep Neural Networks
An overview of the most popular optimization algorithms for training deep neural networks. From stohastic gradient descent to Adam, AdaBelief and second-order optimization
In-layer normalization techniques for training very deep neural networks
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.
Explain Neural Arithmetic Logic Units (NALU)
What is behind the NALU Deepmind paper
Deep Learning- The future or another AI buzzword
How deep learning is changing the world
Neural Network from scratch-part 2
How to buld a Convolutional neural network library using C++ and OpenCL
Neural Network from scratch-part 1
How to buld a neural network library using C++ and OpenCL
Document clustering
Use unsupervised learning to cluster documents based on their content