矩阵大小不兼容：In[0]：[47,1000]，In[1]：[4096,256]

Question

I'm new to TensorFlow and am following a tutorial. I'm trying to do image captioning using VGG. I am getting an error that says:

enter image description here

This is my code:

model = define_model(vocab_size, max_length)  
epochs = 20

steps = len(train_descriptions)

for i in range(epochs):
    generator = data_generator(train_descriptions, train_features, tokenizer, max_length)
    model.fit_generator(generator, epochs=1, steps_per_epoch=steps, verbose=1)
    model.save('model_' + str(i) + '.h5')

I'm just following the tutorial but that video was taken a long time ago. Since I'm new to this I don't understand this error. I tried model.fit() also. But, nothing works. Please, help me to rectify this.

https://github.com/nitinkaushik01/Deep_and_Machine_Learning_Projects/blob/master/Image_Caption_Project/Image_caption_Project.ipynb - This is the tutorial I'm following.

Answer 1

1. solved after apply the below modification inputs1 --> 1000 instead of 4096 se1 --> 47 instead of 256 decoder2 --> 47 instead of 256 fe2 --> 47 instead of 256 se3 --> 47 instead of 256
2. or just update inputs1 to 1000 i think it will solve the issue