How do you create a custom activation function with Keras?
Sometimes the default standard activations like ReLU, tanh, softmax, … and the advanced activations like LeakyReLU aren’t enough. And it might also not be in keras-contrib.
keras
Tensorflow – ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type float)
Continuation from previous question: Tensorflow – TypeError: ‘int’ object is not iterable
Why is TensorFlow 2 much slower than TensorFlow 1?
It’s been cited by many users as the reason for switching to Pytorch, but I’ve yet to find a justification/explanation for sacrificing the most important practical quality, speed, for eager execution.
Failed to get convolution algorithm. This is probably because cuDNN failed to initialize,
In Tensorflow/ Keras when running the code from https://github.com/pierluigiferrari/ssd_keras, use the estimator: ssd300_evaluation. I received this error.
Deep-Learning Nan loss reasons
Perhaps too general a question, but can anyone explain what would cause a Convolutional Neural Network to diverge?
Keras + Tensorflow and Multiprocessing in Python
I’m using Keras with Tensorflow as backend.
How to apply gradient clipping in TensorFlow?
Considering the example code.
How does Keras calculate the accuracy?
If there’s a binary classification problem, the labels are 0 and 1.
I know the prediction is a floating-point number because p is the probability of belonging to that class.
Keras Sequential model input layer
When creating a Sequential model in Keras, I understand you provide the input shape in the first layer. Does this input shape then make an implicit input layer?
How to concatenate two layers in keras?
I have an example of a neural network with two layers. The first layer takes two arguments and has one output. The second should take one argument as result of the first layer and one additional argument. It should looks like this: