next, we are going to apply convolutional neural networks to the same task. these networks have demonstrated great performance on many deep learning tasks, especially in computer vision. you will be working

asked Nov 28, 2024 115k views

next, we are going to apply convolutional neural networks to the same task. these networks have demonstrated great performance on many deep learning tasks, especially in computer vision. you will be working in the files part2-mnist/nnet cnn.py and part2-mnist/train utils.py in this problem convolutional neural networks 0/3 points (graded) we provide skeleton code part2-mnist/nnet cnn.py which includes examples of some (not all) of the new layers you will need in this part. using the pytorch documentation, complete the code to implement a convolutional neural network with following layers in order: a convolutional layer with 32 filters of size a relu nonlinearity