Hybrid classification neural network

Question

I have product data and I need to classify products to categories (for example Lenovo laptop to Laptops category, etc.), each product has properties such as:

1. description
2. list with image URLs (typically 4 photos)
3. product-specific properties (watches have a mechanism type attribute, etc.)
4. manufacturer
5. category ID

Category ID is my target variable, do you know some resources (articles/books) where someone did something similar? I heard about the transfer learning (answer to this question Hybrid Convolutional and Conventional Neural Networks, is it a good approach?). My biggest problem is that I don't know how to connect CNN for images similarity and conventional neural network. Thanks for the help.