Batch training of the dataset

[eldhoabraham]

Problem: Current implementation takes bulk dataset to train the model. If the dataset is huge, memory availability becomes a problem

Solution: Implement batch training.
Few pointers to start -

• https://www.pyimagesearch.com/2018/12/24/how-to-use-keras-fit-and-fit_generator-a-hands-on-tutorial/
• https://stackoverflow.com/questions/38805375/keras-batch-training-for-multiple-large-datasets

[nubariumdev]

I tried but i got his error..

ValueError: Layer "model" expects 4 input(s), but it received 2 input tensors. Inputs received: [<tf.Tensor 'IteratorGetNext:0' shape=(None, None, None, None) dtype=float32>, <tf.Tensor 'IteratorGetNext:1' shape=(None, None, None, None) dtype=float32>]