MATLAB Deep Learning Toolbox

  • NG # 01863-SW-MATHLAB-003

Deep Learning Toolbox Design, train, and analyze deep learning networks

Manufactured By :
MathWorks
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Need Help Ordering?
Call +88 01714243446

Stock
Limited

Custom Pricing

Get A Quote

Overview

Deep Learning Toolboxâ„¢ (formerly Neural Network Toolboxâ„¢) provides a framework for designing and implementing deep neural networks with algorithms, pretrained models, and apps. You can use convolutional neural networks (ConvNets, CNNs) and long short-term memory (LSTM) networks to perform classification and regression on image, time-series, and text data. You can build advanced network architectures such as generative adversarial networks (GANs) and Siamese networks using.

Deep Learning Toolboxâ„¢ (formerly Neural Network Toolboxâ„¢) provides a framework for designing and implementing deep neural networks with algorithms, pretrained models, and apps. You can use convolutional neural networks (ConvNets, CNNs) and long short-term memory (LSTM) networks to perform classification and regression on image, time-series, and text data. You can build advanced network architectures such as generative adversarial networks (GANs) and Siamese networks using custom training loops, shared weights, and automatic differentiation. Apps and plots help you visualize activations, edit and analyze network architectures, and monitor training progress.

Specification

  • Convolutional Neural Networks
  • Learn patterns in images to recognize objects, faces, and scenes. Construct and train convolutional neural networks (CNNs) to perform feature extraction and image recognition.
  • Long Short-Term Memory Networks
  • Learn long-term dependencies in sequence data including signal, audio, text, and other time-series data. Construct and train long short-term memory (LSTM) networks to perform classification and regression. 
  • Network Architectures

CATALOGS

User Manual

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