卷积神经网络中的输入和输出形状

Question

ValueError: Input 0 of layer sequential_30 is incompatible with the layer: : expected min_ndim=4, found ndim=3. Full shape received: [None, None, None]

Answer 1

First of all, the details that you have provided is very less.首先，您提供的详细信息非常少。 From the details that you have provided, I have interpreted that you are trying to pass a numpy array of dimension 3 to a CNN Layer .根据您提供的详细信息，我已经解释了您正在尝试将维度为 3 的numpy array传递给CNN Layer 。 A CNN Layer only accepts 4-dimensional numpy arrays , but you have given a 3-dimensional numpy array as the input. CNN Layer仅接受4-dimensional numpy arrays ，但您已将3-dimensional numpy array作为输入。 In order to solve this problem, reshape the array to a 4D array.为了解决这个问题，将数组reshape为4D数组。 If you provide ur code, I will be able to provide you the exact lines that you have to use.如果您提供您的代码，我将能够为您提供您必须使用的确切行。

卷积神经网络中的输入和输出形状

问题描述

1 个解决方案

解决方案1
0 2020-09-21 05:41:02

卷积神经网络中的输入和输出形状

问题描述

1 个解决方案

解决方案1 0 2020-09-21 05:41:02

解决方案1
0 2020-09-21 05:41:02