It's possible to create neural networks from raw code. But there are many code libraries you can use to speed up the process. These libraries include Microsoft CNTK, Google TensorFlow, Theano, PyTorch ...

While you can train simple neural networks with relatively small amounts of training data with TensorFlow, for deep neural networks with large training datasets you really need to use CUDA-capable ...

GGDSD College, Chandigarh, recently hosted a technical workshop focusing on AI, IoT, and Smart Vision, led by industry expert ...

When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. TensorFlow is an open source machine learning framework developed by Google, designed to build ...

With the help of Python and the NumPy add-on package, I'll explain how to implement back-propagation training using momentum. Neural network momentum is a simple technique that often improves both ...

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 ...