How to initialize with same weights in tensorflow? | 台灣精品獎-歷屆得獎名單
Youcansetthekernel_initializerinallthelayersasperyourrequirement.Thetermkernel_initializerisafancytermforwhich ...
You can set the kernel_initializer in all the layers as per your requirement. The term kernel_initializer is a fancy term for which statistical distribution or function is used for initialising the weights.
The initializer can take different values. You can set them all zeros, ones or a constant value. You can also choose RandomUniform or RandomNormal with the seed value.
If you are using tensorflow for layer, then you can find details about different initializers here - Tensorflow Initialzer[1]
If you are using Keras for layer, then you can find details about different initializers here - Keras Initializer[2]
References Tensorflow Initialzer (www.tensorflow.org) Keras Initializer (keras.io)Tensorflow weight initialization | 台灣精品獎-歷屆得獎名單
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