Implementing Neural network for predicting using pre-trained weights

Implementing Neural network for predicting the output without using any higher level python libraries using pre-trained weights I have used numpy library only to initialize the array and it is eventually converted back to python list.

inputs for script

• Input array
• pre-trained weights
• model-architecture (.csv file)

To run the script :

$ python predicting_without_libraries.py

Layers Implemented:

• Conv1D Layer
• Dense Layer
• Maxpool1D layer

Activation Functions:

• Relu
• Sigmoid