sklearn: Set the valute to the attribute out_activation_ to 'logistic' Question: I need to set the attribute activation_out = ‘logistic’ in a MLPRegressor of sklearn. It is supposed that this attribute can take the names of the relevant activation functions (‘relu’,’logistic’,’tanh’ etc). The problem is that I cannot find the way that you can control …
The function for tensor value generates this Error: 'false_fn' must be callable Question: I am creating a function that takes a tensor value and returns the result by applying the following formulation, There are 3 conditions so I am using @tf.functions. def Spa(x): x= tf.convert_to_tensor(float(x), dtype=tf.float32) p= tf.convert_to_tensor(float(0.05), dtype=tf.float32) p_dash=x K = p*logp_dash Ku=K.sum(Ku) Ku= …
Custom activation function in Tensorflow with trainable params Question: I am trying to implement a custom version of the PElu activation function in tensorflow. The custom thing about this activation is the knee of the relu is smoothed. I got the equation from this paper. Here is the code: from keras import backend as K …
how to get what type of activation is used? Question: I have found that model.layers[index].output prints the info I need. But, I couldn’t get what activation function was used by looking at this output: Tensor(“dense_11_1/clip_by_value:0”, shape=(?, 256), dtype=float32) Usually, it is like Tensor(“block5_conv3_1/Relu:0”, shape=(?, ?, ?, 512), dtype=float32) and I can see Relu was used …
How to change activation layer in Pytorch pretrained module? Question: How to change the activation layer of a Pytorch pretrained network? Here is my code : print(“All modules”) for child in net.children(): if isinstance(child,nn.ReLU) or isinstance(child,nn.SELU): print(child) print(‘Before changing activation’) for child in net.children(): if isinstance(child,nn.ReLU) or isinstance(child,nn.SELU): print(child) child=nn.SELU() print(child) print(‘after changing activation’) for …
Pytorch custom activation functions? Question: I’m having issues with implementing custom activation functions in Pytorch, such as Swish. How should I go about implementing and using custom activation functions in Pytorch? Asked By: ZeroMaxinumXZ || Source Answers: You can write a customized activation function like below (e.g. weighted Tanh). class weightedTanh(nn.Module): def __init__(self, weights = …
How to make a custom activation function with only Python in Tensorflow? Question: Suppose you need to make an activation function which is not possible using only pre-defined tensorflow building-blocks, what can you do? So in Tensorflow it is possible to make your own activation function. But it is quite complicated, you have to write …
