but the older we get, the faster “time flies”. Yet, it is an open question why that is. One possible answer relates to age-specific differences in the neural mechanisms underlying time and event perception. In
Use Grad-CAM to visualize which parts of an image are most important to the predictions of an image regression network. Load the pretrained network digitsRegressionNet. This network is a regression convolutional neural network that predicts the angle of rotation of handwritten digits. Get load dig...
but the older we get, the faster “time flies”. Yet, it is an open question why that is. One possible answer relates to age-specific differences in the neural mechanisms underlying time and event perception.
8685 3. High-frequency Components & CNN's Gen- eralization We first set up the basic notations used in this paper: x, y denotes a data sample (the image and the correspond- ing label). f (·; θ) denotes a convolutional neural network w...
In spite of the simplicity of its architecture, the attractor neural network might be considered to mimic human behavior in the meaning of semantic memory organization and its disorder. Although this model could explain various phenomenon in cognitive neuropsychology, it might become obvious that this...
A theoretical understanding of generalization remains an open problem for many machine learning models, including deep networks where overparameterization leads to better performance, contradicting the conventional wisdom from classical statistics. Here,
Changing the architecture of the explained model. Training models with different activation functions improved explanation scores. We are open-sourcing our datasets and visualization tools for GPT‑4-written explanations of all 307,200 neurons in GPT‑2, as well as code for explanation and scoring...
FireXplainNet: Optimizing Convolution Block Architecture for Enhanced Wildfire Detection and InterpretabilityCONVOLUTIONAL neural networksFIRE detectorsEMERGENCY managementWILDFIRE preventionWILDFIRESENVIRONMENTAL disastersENVIRONMENTAL monitoringThe early detection of wildfires is a crucial challenge in environmental ...
To illustrate the non-SQL related portions of this post, I'll be using a ready-to-use, pretrained model that I found on HuggingFace. This model is calledgnokit/ddpm-butterflies-64. It's a DDPM model, with the UNet architecture as a backbone, trained to perform denoising in 1000 steps ...
Fully convolutional network Fully convolutional networks owe their name to their architecture, which is built only from locally connected layers, such as convolution, pooling and upsampling. Note that no dense layer is used in this kind of architecture. This reduce the number of parameters and com...