I had great fun writing neural network software in the 90s, and I have been anxious to try creating some using TensorFlow. Google’s machine intelligence framework is the new hotness right now. And ...

Some applications are so inherently complicated that it is difficult to dig through the many layers of connected algorithms to expose the parts of the code ripe for optimization. This makes them a ...

In this paper, the authors present a novel technique for the mapping of set of DSP applications onto architectures targeting an ASIC/Reconfigurable implementation embedded on the same chip. Synthesis ...

According to its site, TensorFlow is an open source software library for numerical computation using data flow graphs. For a layman, TensorFlow can be considered as a system that takes heterogeneous ...

Google's open source framework for machine learning and neural networks is fast and flexible, rich in models, and easy to run on CPUs or GPUs What makes Google Google? Arguably it is machine ...

Scott Reeves demonstrates the flow graph feature of the Wireshark tool, which can help you check connections between client server, finding timeouts, re-transmitted frames, or dropped connections. I ...