Convolutional in a sentence

(1) Convolutional layers are typically followed by pooling layers in CNNs.

(2) Convolutional networks can learn hierarchical representations of data.

(3) Convolutional neural networks are widely used in image recognition tasks.

(4) Convolutional filters can be used to detect edges and textures in images.

(5) The convolutional operation involves sliding a filter over the input data.

(6) The convolve function is a key component in convolutional neural networks.

(7) Convolutional filters can be learned from data to adapt to specific tasks.

(8) Convolutional models have been used for style transfer in image processing.

(9) I have successfully implemented a convolutional neural network using Keras.

(10) Convolutional networks have been used for object detection and localization.

Convolutional sentence

(11) Convolutional filters can detect edges, textures, and other visual patterns.

(12) Convolutional operations are commonly used in signal processing applications.

(13) The convolutional approach allows for efficient processing of large datasets.

(14) Convolutional architectures have revolutionized the field of computer vision.

(15) The convolutional operation is a fundamental building block in deep learning.

(16) The convolutional approach is inspired by the visual cortex in the human brain.

(17) The Imagenet dataset is widely used for training convolutional neural networks.

(18) The convolutional kernel is a small matrix used for feature extraction in CNNs.

(19) Convolutional architectures have been applied to time series forecasting tasks.

(20) Convolutional operations are computationally efficient due to parameter sharing.

Convolutional make sentence

(21) Convolutional layers can be stacked to learn more complex features in deep CNNs.

(22) The convolutional operation can be parallelized to speed up computation in CNNs.

(23) Convolutional networks have been used to analyze and classify satellite imagery.

(24) Convolutional networks have been successful in natural language processing tasks.

(25) Convolutional networks can be trained using backpropagation and gradient descent.

(26) Convolutional layers can capture local patterns and spatial relationships in data.

(27) The image recognition system uses a convolutional neural network as its classifier.

(28) ReLU is widely used in convolutional neural networks for image classification tasks.

(29) The convolutional layer in a CNN applies filters to extract features from input data.

(30) Convolutional architectures have been extended to handle 3D data in video processing.

Sentence of convolutional

(31) The convolutional operation is computationally efficient due to its localized nature.

(32) The convolutional operation can be visualized as a sliding window over the input data.

(33) Convolutional networks have been applied to time series data in financial forecasting.

(34) Convolutional networks have been applied to audio processing tasks with great success.

(35) The convolutional approach has been extended to 3D data for volumetric image analysis.

(36) Convolutional filters can be visualized to understand what features they are detecting.

(37) The convolve method is used to perform convolutional operations in deep learning models.

(38) Convolutional networks have been successful in various natural language processing tasks.

(39) Convolutional networks have been used to generate artistic images through style transfer.

(40) Convolutional layers can be stacked to form deep networks for complex feature extraction.

Convolutional meaningful sentence

(41) Convolutional layers are typically followed by pooling layers to reduce spatial dimensions.

(42) Convolutional architectures have been combined with recurrent networks for video captioning.

(43) Convolutional networks have been used for sentiment analysis in natural language processing.

(44) Convolutional networks have been used for gesture recognition in human-computer interaction.

(45) The engineer used a convolutional neural network to convolve the images and detect patterns.

(46) Convolutional networks can be pretrained on large datasets and fine-tuned for specific tasks.

(47) Convolutional neural networks have been used for video classification and action recognition.

(48) Convolutional models have achieved state-of-the-art performance in image classification tasks.

(49) The convolutional approach allows for hierarchical feature extraction in deep learning models.

(50) The convolutional approach has been applied to graph data for network analysis and prediction.

Convolutional sentence examples

(51) The researcher used a convolutional filter to convolve the data and extract relevant features.

(52) The scientist used a convolutional neural network to convolve the images and classify objects.

(53) Convolutional layers can have different filter sizes and strides to capture different features.

(54) Convolutional architectures have significantly improved the accuracy of medical image analysis.

(55) Convolutional networks have been used for object detection and localization in computer vision.

(56) The convolutional approach allows for parameter sharing, reducing the number of model parameters.

(57) Convolutional neural networks have been used for document classification and text categorization.

(58) The convolutional approach has been extended to handle spatio-temporal data in action recognition.

(59) The MNIST dataset is often used to demonstrate the effectiveness of convolutional neural networks.

(60) The convolutional operation is commutative, meaning the order of input and filter does not matter.

Sentence with convolutional

(61) Convolutional architectures have been applied to speech recognition tasks with impressive results.

(62) The relu activation function is used in convolutional neural networks for image recognition tasks.

(63) The convolutional layer in a neural network will convolve the input with a set of learnable filters.

(64) The convolutional operation involves sliding a filter over the input data and computing dot products.

(65) The convolutional neural network will convolve the input image with a set of kernels to detect patterns.

(66) The object detection system used a convolutional neural network classifier to identify objects in images.

(67) Spectral normalization can be applied to both convolutional and fully connected layers in a neural network.

(68) Applying spectral normalization to convolutional layers can improve the generalization ability of neural networks.

(69) The convolutional neural network can be used for image classification by convolving the input with a set of filters.

(70) The multiclass classification model was trained using a deep learning architecture called a convolutional neural network.

(71) His image recognition software was more accurate because he used convolutional neural network queries to identify objects and features.

The word usage examples above have been gathered from various sources to reflect current and historical usage of the word Convolutional. They do not represent the opinions of TranslateEN.com.