In recent years, convolutional neural network architectures have become increasingly complex to achieve improved performance on well-known benchmark datasets. this research, we introduced G-Net light, a lightweight modified GoogleNet with filter count per layer reduce feature overlaps, hence reducing the complexity. Additionally, by limiting amount of pooling layers in proposed architecture, ex...