AI News, Deep Learning Toolbox
- On Tuesday, October 2, 2018
- By Read More
Deep Learning Toolbox
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.Apps and plots help you visualize activations, edit network architectures, and monitor training progress.
To speed up training on large datasets, you can distribute computations and data across multicore processors and GPUs on the desktop (with Parallel Computing Toolbox™), or scale up to clusters and clouds, including Amazon EC2® P2, P3, and G3 GPU instances (with MATLABDistributed Computing Server™).
- On Wednesday, March 20, 2019
Neural Network Toolbox Overview - Create, Train, and Simulate Deep Learning Neural Networks
Neural Network Toolbox™ contains algorithms for creating and training neural networks. You can use built-in apps to perform supervised and unsupervised ...
Intel Demonstration of Deep Learning Inference Performance at the Edge with the OpenVINO Toolkit
For more information about embedded vision, including hundreds of additional videos, please visit Saumya Satish, from the ..
Intel® Movidius™ Neural Compute Stick | IoT Developer Show | Intel Software
This episode of the IoT Developer Show features two demos that showcase the Movidius Neural Compute Stick! Check out the Intel® Movidius™ Neural ...
How to use Intel Model Optimizer with a trained Caffe model
The Intel's Deep Learning Deployment Toolkit provides users with opportunity to optimize trained deep learning networks through model compression and ...