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searching for Convolutional layer 17 found (20 total)

Convolutional neural network (15,585 words) [view diff] exact match in snippet view article find links to article

convolution (or cross-correlation) kernels, only 25 weights for each convolutional layer are required to process 5x5-sized tiles. Higher-layer features are

Filters, random fields, and maximum entropy model (812 words) [view diff] exact match in snippet view article find links to article

the original FRAME model, Lu et al. uses the filters at a certain convolutional layer of a pre-learned ConvNet. Instead of relying on the pre-trained filters

LeNet (2,848 words) [view diff] exact match in snippet view article find links to article

convolutional neural networks, such as convolutional layer, pooling layer and full connection layer. Every convolutional layer includes three parts: convolution

Residual neural network (3,016 words) [view diff] exact match in snippet view article find links to article

block that has a 1x1 convolutional layer for dimension reduction, a 3x3 convolutional layer, and another 1x1 convolutional layer for dimension restoration

U-Net (1,214 words) [view diff] exact match in snippet view article find links to article

these layers increase the resolution of the output. A successive convolutional layer can then learn to assemble a precise output based on this information

DeepFace (2,913 words) [view diff] exact match in snippet view article find links to article

is a sequence of layers, arranged as follows: convolutional layer - max pooling - convolutional layer - 3 locally connected layers - fully connected

Darkforest (1,521 words) [view diff] exact match in snippet view article find links to article

with a width of 384 nodes without weight sharing or pooling. Each convolutional layer is followed by a rectified linear unit, a popular activation function

AlexNet (2,160 words) [view diff] exact match in snippet view article find links to article

→ MP)² → (CNN³ → MP) → (FC → DO)² → Linear → softmax where CNN = convolutional layer (with ReLU activation) RN = local response normalization MP = max-pooling

Inception (deep learning architecture) (1,144 words) [view diff] exact match in snippet view article

a form of dimension-reduction by concatenating the output from a convolutional layer and a pooling layer. As an example, a tensor of size 35 × 35 × 320

Latent diffusion model (2,184 words) [view diff] exact match in snippet view article find links to article

are processed by a ResBlock: The latent array is processed by a convolutional layer. The time-embedding vector is processed by a one-layered feedforward

Receptive field (3,057 words) [view diff] exact match in snippet view article find links to article

Neurons of a convolutional layer (blue), connected to their receptive field (red)

Margarita Chli (2,061 words) [view diff] exact match in snippet view article find links to article

creating regional representations of salient regions directly from convolutional layer activation. They found that their system has improved robustness

Neural architecture search (2,980 words) [view diff] exact match in snippet view article find links to article

multiple outputs at each layer. In the studied example, the best convolutional layer (or "cell") was designed for the CIFAR-10 dataset and then applied

Contrastive Language-Image Pre-training (3,096 words) [view diff] exact match in snippet view article find links to article

an average pooling of stride 2 at the start of each downsampling convolutional layer (they called it rect-2 blur pooling according to the terminology

Normalization (machine learning) (5,289 words) [view diff] exact match in snippet view article

per-channel BatchNorm. Concretely, suppose we have a 2-dimensional convolutional layer defined by: x h , w , c ( l ) = ∑ h ′ , w ′ , c ′ K h ′ − h , w ′

Tensor (machine learning) (4,104 words) [view diff] exact match in snippet view article

tensors to express the convolution layers of a neural network. A convolutional layer has multiple inputs, each of which is a spatial structure such as

History of artificial neural networks (8,627 words) [view diff] exact match in snippet view article find links to article

layers in CNNs: convolutional layers, and downsampling layers. A convolutional layer contains units whose receptive fields cover a patch of the previous