Convolution neural networks can study from multiple features parallelly. In the ultimate stage, we stack the many output characteristic maps along with the depth and deliver the output.The LeNet architecture is simple and modest making it ideal for instructing the fundamentals of CNNs. It may even run about the CPU (if your method lacks an honest G