In this video, the idea of ‘wide’ in neural networks is illustrated, highlighting the impact of having more neurons in each layer rather than increasing the depth or number of hidden layers. It shows how wider networks capture a broader range of features, making them suitable for detailed information processing. Moreover, the workbook demonstrates the trade-offs between choosing a ‘deep’ or ‘wide’ layer, and their pros and cons to aid in understanding the balance between network width and depth.
The workbook pdf-
