The purpose of this library is to import TFJS graph models into Tensorflow. This allows you to use TensorFlow.js models with Python in case you don't have access to the original formats or the models ...

With the announcement that Object Detection API is now compatible with Tensorflow 2, I tried to test the new models published in the TF2 model zoo, and train them with my custom data. However, I have ...

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 ...

The growth of IoT brought an explosion of Smart Devices linked to the Cloud, but the network was not yet prepared to handle this spike in demand. Cloud networks were overburdened, and businesses ...

Abstract: Communication is sharing information, ideas, and emotions between individuals, typically facilitated by a common language. However, for individuals who are deaf and mute, conventional ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write ...