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MATLAB

Name: MATLAB
Rating: 4.5 (2 reviews)

By The MathWorks

1364 Interested

Highlights : About MATLAB

Network Architectures and Algorithms

Access to the Latest Pretrained Models

Handling Large Sets of Images

Semantic Segmentation

Embedded Deployment

Training and Visualization

About MATLAB

MATLAB is a programming, modeling and simulation platform that merges a desktop environment tuned for iterative analysis and design processes with a programming language that expresses matrix and array mathematics directly.

Specifications

Business Size

Small, Mid-Market, Enterprise

Deployments

Premise

Language Support

English

Platforms

Product Details

Features

Training and Visualization

Scaling and Acceleration

Object Detection

Ground-Truth Labeling

Analytics/Reporting

Filtered Views

AI / Machine Learning

Modeling & Simulation

Design Analysis

Graphical Modeling

Risk-Aware Development

Risk Modeling

Enterprise Implementation

Network Architectures and Algorithms

Access to the Latest Pretrained Models

Benefits

MATLAB solutions for Deep Learning

MATLAB solutions for Deep Learning allow users to design, build, and visualize convolutional neural networks using just a few lines. Even with just limited technical knowledge, users can run deployed models up to 7 times faster than other similar software. Users can access updated models such as GoogLeNet, VGG-16, VGG-19, AlexNet, ResNet-50, ResNet-101, and Inception-v3.

Integrated with a variety of solutions for image processing and computer vision.

MATLAB is integrated with a variety of solutions for image processing and computer vision. Users can obtain images and videos from imaging hardware, utilize graphical tools to visualize and manipulate them, and migrate them to embedded software. Libraries of reference-standard algorithms also help generate newer, fresher ideas.

Easy to use signal processing techniques

MATLAB makes it easy to use signal processing techniques to explore and analyze time-series data. The software delivers a unified workflow for the development of embedded systems and streaming applications. Signals can be obtained, measured, and assessed from multiple sources. Streaming algorithms for audio, smart sensor, instrumentation, and IoT devices can be developed, tested, and implemented using MATLAB’s extensive features.

Beneficial for financial organizations

MATLAB is beneficial for financial organizations as it develops quality-assured, transparent, documented, and replicable risk and stress testing models. It boasts of easy-to-use tools so that models can be created in just a matter of days, which is important given today’s rapidly changing regulatory and business environments.

Useful for robotics researchers and engineers

MATLAB is useful for robotics researchers and engineers. The technology can design and tune algorithms, model real-world systems, and automatically generate code all using one integrated platform. Users can connect to and control their robot with developed algorithms. Tools to generate hardware-agnostic algorithms and connect to the Robot Operating System (ROS) are also available. Users can send control signals or analyze multiple data types by connecting to a range of sensors and actuators.

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