In keras, we can visualize activation functions' geometric properties using backend functions over layers of a model. We all know the exact function of popular activation functions such as 'sigmoid', 'tanh', 'relu', etc, and we can feed data to these f...
In keras, we can visualize activation functions' geometric properties using backend functions over layers of a model. We all know the exact function of popular activation functions such as 'sigmoid', 'tanh', 'relu', etc, and we can feed data to these f...
In many introductory to image recognition tasks, the famous MNIST data set is typically used. However, there are some issues with this data:1. It is too easy. For example, a simple MLP model can achieve 99% accuracy, and a 2-layer CNN can achieve 99% a...
In many introductory to image recognition tasks, the famous MNIST data set is typically used. However, there are some issues with this data:1. It is too easy. For example, a simple MLP model can achieve 99% accuracy, and a 2-layer CNN can achieve 99% a...
Keras is a very convenient tool to build your deep learning model from scratch, it is so easy to use that it almost becomes the de-facto deep learning modeling framework in Kaggle competition.Keras used to support only TensorFlow and Theano. CNTK...
Keras is a very convenient tool to build your deep learning model from scratch, it is so easy to use that it almost becomes the de-facto deep learning modeling framework in Kaggle competition.Keras used to support only TensorFlow and Theano. CNTK...
My paymenet information for this custom URL is expiring and Google told me to update the payment information. That's OK, I will do it. However, by switching to G Suite, Google makes paying this $10.00 so difficult that I decided it is not worthy to c...
Update on 2017/01/05:With the release of Anaconda3-4.2.0 in September 2016, users are able to install mingw and libpython under conda, which makes using Theano and keras in Python3.5 much easier.Here are the simple steps:1. Install Anaconda3-4.2....
