Artificial Intelligence

Apply machine learning and deep learning

다음에 대한 결과: TensorFlow

Explainability in Object Detection for MATLAB, TensorFlow, and PyTorch Models

저자 Sivylla Paraskevopoulou,

In R2024a, Computer Vision Toolbox introduced the d-rise function. D-RISE is an explainability tool that helps you visualize and understand  which parts are important for object detection. If you... 더 읽어보기 >>

범주: 
Deep Learning,
Deep Learning Example,
Explainable AI,
MATLAB with Python,
New features,
PyTorch,
TensorFlow

Convert Deep Learning Models between PyTorch, TensorFlow, and MATLAB 3

저자 Sivylla Paraskevopoulou,

In this blog post we are going to show you how to use the newest MATLAB functions to: Import models from TensorFlow and PyTorch into MATLAB Export models from MATLAB to TensorFlow and... 더 읽어보기 >>

범주: 
Deep Learning,
Deep Learning Example,
MATLAB with Python,
New features,
PyTorch,
TensorFlow

Deep Learning Toolbox R2024a: Major Update and New Examples 2

저자 Sivylla Paraskevopoulou,

On March 20th, MATLAB R2024a was released with many updates for Deep Learning Toolbox. Exciting new features for deep learning help engineers create and use explainable, robust, and scalable deep... 더 읽어보기 >>

범주: 
AI Application,
AI verification,
Deep Learning,
New features,
PyTorch,
TensorFlow

MATLAB with TensorFlow from Your Jupyter Notebook 3

저자 Sivylla Paraskevopoulou,

The MATLAB Kernel for Jupyter® (GitHub: jupyter-matlab-proxy) was released a few months ago. The MATLAB Kernel for Jupyter now supports Windows®, in addition to macOS® and Linux®. In this blog... 더 읽어보기 >>

범주: 
Deep Learning,
MATLAB with Python,
TensorFlow

What’s New in Interoperability with TensorFlow and PyTorch 3

저자 Sivylla Paraskevopoulou,

For deep learning, MATLAB allows users to create and train models in MATLAB or leverage models trained in open source via model conversion. Prior to MATLAB R2022b, support for model conversion... 더 읽어보기 >>

범주: 
Deep Learning,
MATLAB with Python,
PyTorch,
TensorFlow