neural networks

"Now I know the working of neural networks, activation functions,optimizers and back propagation. I also learned CNN and transfer learning and RNN. Now I want to learn one framework I choose pytorch"

"I’m implementing a self-pruning neural network with learnable gates on CIFAR-10, and I wanted your advice on the best way to approach the training and architecture"

"I keep asking myself if this is whole thing of coding ml algorithms from scratch is actually needed or is this just just some outdated interview prep questions."

""When the three phases are balanced, one direction in channel space - the DC direction - is left empty by construction, geometrically orthogonal to all three phases.""

"Empirically, the LLM-guided proposal + accept-only (ΔE < 0) rule does not appear to break detailed balance or alter the stationary distribution."

"Regarded as the third generation of neural networks, Spiking Neural Networks (SNNs) have garnered significant traction due to their biological plausibility and energy efficiency."

"Basically, it gives the network a mathematically rigorous 'I don't know' button for free."

"Across models, stronger working memory capacity correlates with broader competence on standard benchmarks, mirroring its link to general intelligence in humans."

"We prove that pheromone evolution across generations follows the same update equations as weight evolution during gradient descent, with evaporation rates corresponding to learning rates, colony fitness corresponding to negative loss, and recruitment waves corresponding to backpropagation passes."

"Because Keirin is a group battle based on temporary teams (lines) tied by factors like hometown, you cannot predict it without parameterizing 'loyalty, human emotion, and unspoken understandings'."

"To our best knowledge, this is the first work to systematically establish multi-dimensional grouped computation for resolving the triad of memory overhead, learning capability and energy budget in S-ViTs."

"Further, we develop a neural network based estimation framework, SPICE-Net, to estimate causal effects, which is applicable to both discrete and continuous treatments."

""Deep" = Having many intermediate layers. This is the origin of the name Deep Learning!"

"The goal of the competition is precisely to predict the fastest route from satellite images. The key point is that it is the fastest, not the shortest."

"ReLU based neural networks perhaps shouldn't work because they are blanking 50% of the information at each layer. Why would they work anyway?"

"A 7-step roadmap to become a Deep Learning Engineer in 2026"

"Considering great cost for directly tuning LLMs, we instead function LLM as enhancer to boost GNN's performance on downstream tasks."

"Neural Networks As Hierarchical Associative Memory"

"I don’t just want to follow tutorials — I want to actually understand things and improve step by step."

"In the case of independent test data, we obtain a dimension-free rate of order O(n^{-1/2} ) on the n-sample generalization error, whereas without independence assumption, we derive a bound of order O(n^{-1 / ( d_{rm in}+d_{rm out} )} ), where d_{rm in}, d_{rm out} denote input and output dimensions."

"AI (Machine Learning) works by: Input + Correct Data → Automatically Learn Rules → Output. For example, if you give a system massive amounts of weather data and 'Hot/Cold' labels, it automatically learns 'what temperature constitutes hot'!"

"What are your views on the newer deep learning–based MRI reconstruction technologies?"

"A central component of the proposed framework consists of Scientific Machine Learning, particularly Physics-Informed Neural Networks (PINNs), which incorporate physical laws into deep learning models."

"A general explicit network (GEN) that implements point-to-function PDE solving is proposed in this paper... experimental results demonstrate that this approach enables solutions with high robustness and strong extensibility to be obtained."

"On 2,000 validation samples it achieves sub-pixel accuracy... Radial error: mean = 0.0098 px... The model is essentially at the measurement precision limit."

"A smarter, logic-driven AI could slash energy use by 100x—and outperform today’s most powerful systems."

"Writing the backpropagation and managing memory manually with pointers was a huge headache, but it taught me more about deep learning than any tutorial ever did."

"Furthermore, we explore the use of graph neural networks to harness invariances in the relational structure of planning domains and learn representations that afford faster planning."