Is There Any Pitfall in Deep Learning?

The main pitfall is when people started learning about deep learning, they kind of go through this process of learning the raw pytorch first. People think that that simple example will generalize to something meaningful that it can actually train at scale. Unless you're like literally a PhD in this, or you've been doing deep learning for a long time, it's going to be extremely difficult to get everything right. All you're going to mess up on is literally the model definition and the training process.