Hi there 馃憢馃徏, this is my blog
I write content about deep learning, AWS, and other things that I find interesting.
Confusion Matrix
Confusion matrix, is a specific table layout that allows us to visualize the performance of a classification algorithm. TP: The actual class of the sample is positive, and the result predicted by the model is also positive. FN: The actual class of the sample is positive, but the result predicted by the model is negative. FP: The actual class of the sample is negative, but the result predicted by the model is positive....
Coding RNN in PyTorch
All the code is available on Github: https://github.com/hahahumble/Coding-RNN-PyTorch A recurrent neural network (RNN) is a type of artificial neural network which uses sequential data or time series data. Recurrent neural networks give neural networks memory, so they are widely used in machine translation, speech recognition and so on. In PyTorch, RNN is built using torch.nn.RNN class. You can learn about its parameters, inputs, and outputs in here: https://pytorch.org/docs/stable/generated/torch.nn.RNN.html Simple RNN In the first example, I implement the most basic RNN, with num_layer=1, bidirectional=False....