A Breakdown of Deep Learning Frameworks
Deep Learning Frameworks What is a Deep Learning Framework? Software framework or software library used by researchers and data scientists to design and train deep neural network models. Deep learning…
Deep Compression: Optimization Techniques for Inference & Efficiency
Deep Compression for Improved Inference Efficiency, Mobile Applications, and Regularization As technology cozies up to the physical limits of Moore’s law, computation is increasingly limited by heat dissipation rather than…
PyTorch V1.0.1 Updates / Bug Fix Release
PyTorch is a widely used, open source deep learning platform used for easily writing neural network layers in Python enabling a seamless workflow from research to production. Here are the…
New TensorFlow Release 1.13.0
Here is an overview of TensorFlow’s latest release 1.13.0. Major Features and Improvements TensorFlow Lite has moved from contrib to core. This means that Python modules are under tf.lite and source code…
Is Docker Ideal for Running TensorFlow? Let’s Measure Performance with the RTX 2080 Ti
Note: This blog compares only the performance of TensorFlow for the training deep deep neural networks. TensorFlow can be compiled for many different use cases, as with TensorFlow Docker containers….