The idea is that TensorFlow works at a relatively low level and coding directly with TensorFlow is very challenging. Put another way, you write Keras code using Python. The Keras code calls into the ...

TensorFlow is a Python-friendly open source library for developing machine learning applications and neural networks. Here's what you need to know about TensorFlow.

Tensorflow's sequential model is a very intuitive way to start learning about Deep Neural Networks. However it is quite hard to dive into more complex networks without learning more about Keras. Well ...

Keras is a high-level neural networks library, written in Python and capable of running on top of either TensorFlow or Theano. It was developed with a focus on enabling fast experimentation. Being ...

TensorFlow is a free and open source library that is available for Python, JavaScript, C++, and Java. This flexibility lends itself to a wide range of applications in many different sectors.

A TensorFlow-specific implementation of Keras (a high-level neural networks API that in its standard implementation also runs on top of MXNet, Deeplearning4j, Microsoft Cognitive Toolkit, and ...

The idea is that TensorFlow works at a relatively low level and coding directly with TensorFlow is very challenging. Put another way, you write Keras code using Python. The Keras code calls into the ...