I strongly recommend using the Anaconda distribution of Python, which has all the packages you need to run Keras with TensorFlow. In this article I address installation on a Windows 10 machine.

You can use existing models, convert Python TensorFlow models, use transfer learning to retrain existing models with your own data, and develop models from scratch.

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

TensorFlow is an open source software library developed by Google for numerical computation with data flow graphs. This TensorFlow guide covers why the library matters, how to use it and more.

Overview: Building AI models begins with clear goals, clean data, and selecting appropriate algorithms.Beginners can use tools like Python, scikit-learn, and Te ...

In this video, we will understand what is Keras and Tensorflow. Tensorflow is a free and open-source library for machine ...