so that you can use the Scikit-learn grid search to perform hyperparameter optimization in Keras models. Read my review of Keras. Both PyTorch and TensorFlow support deep learning and transfer ...

so that you can use the Scikit-learn grid search to perform hyperparameter optimization in Keras models. Read my review of Keras. Both PyTorch and TensorFlow support deep learning and transfer ...

This PyTorch vs ... tools like TensorFlow Debugger aid in the process. JAX is a newer entrant into the numerical computing space, backed by Google, and is quickly gaining traction in the deep ...

Key among the “tools ... strong deep learning teams today use one of the more popular frameworks – and I’m talking about technologies like Tensorflow, Keras, PyTorch, MXNet or Caffe.

which provides a set of Python language-based deep learning capabilities on top of the core TensorFlow technology. Google is announcing a pair of new Keras tools: KerasCV for computer vision (CV ...