Maybe we can start of with Softmax Regression on TensorFlow to start off with? It is very simple and can be completed quickly also. It gives a solid introduction to the basic of classification and softmax function.
But instead of using the cliched MNIST dataset, we can try and look into the alphabets one maybe?
Maybe we can start of with Softmax Regression on TensorFlow to start off with? It is very simple and can be completed quickly also. It gives a solid introduction to the basic of classification and softmax function. But instead of using the cliched MNIST dataset, we can try and look into the alphabets one maybe?