Implementing multilayer neural networks in Keras

We have gone through the theory of neural networks, we have learned about the activation functions and multilayer neural networks. We are now ready to implement our project on testing the quality of concrete using multilayer neural networks. Excited? Let's begin. Concrete is the most important material in civil engineering. Its compressive strength is a highly nonlinear function of age and ingredients. These ingredients include cement, blast furnace slag, fly ash, water, superplasticizer, coarse aggregate, and fine aggregate. The test to calculate compressive strength is carried out on either a concrete cube or cylinder through the use of a compression testing machine (2,000 kilonewtons). The test is destructive and takes a long time, so the possibility of predicting the compressive strength takes on significant importance...