Hi, is there any documentation of fastai library? While the library itself is very good and fast as compared to keras. Its equally difficult to know about its methods and apis. Learners will need to watch the whole videos of the course to know about specific implementation details . It would be really amazing and super helpful if there is one with description on api uses. I think stuffs like architecting a model, types of layers, available optimizers, saving/loading weights/whole model… stuffs like that are very essential to the library uses and it would be really amazing if there is a place where usage is written down.
And I don’t want to sound offensive or anything but what is the point of teaching this library if itself is at alpha version and documentations are not even ready? Wouldn’t it be more helpful to the new learners if the lectures were in Keras like before or in Pytorch itself or tensorflow itself? I get that in tensorflow, the APIs are quite hard to make sense for beginners but even if it is hard at first, when they finally complete the whole course, wouldn’t it be more useful for them when they try to apply their learned knowledge to their own project?