Many heavy and lightweight convolutional neural networks (CNNs) require large datasets parameter tuning. Moreover, they consume time computer resources. A new model called FlexibleNet was created to overcome these obstacles. The is a CNN scaling-based (width, depth, resolution). Unlike the conventional practice, which arbitrarily scales factors, uniformly network width, resolution with set of f...