Julia already has quite a few well-established Neural Network Frameworks -- Flux & KNet. However, certain design elements -- Coupled Model and Parameters & Internal Mutations -- associated with these frameworks make them less compiler and user friendly. Making changes to address these problems in the respective frameworks would be too disruptive for users. To address these challenges, we designed Lux, a NN framework.