Extending a trained neural network for a larger input
Its okay as long as the nerwork you are planning to create has the same number of layers and units i.e the dimensions of your network must be compatible with the weights that you are borrowing from the trained model. Also it would be better if you follow the second blog post of suriyadeepan practical seq2seq where he trains a conversation model on twitter chat. The code is much simpler and easier to understand, also it is on a smaller dataset, also he mentioned that the bot trained on cornell movie dialog corpus wasnt performing so well. Mainly to use the pre-trained weights all you have to do is load the model, create placeholders for the weights, assign thr weights from the loaded model to the placeholders and run a forward pass. This blog and this question might help you with this task