Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers. Want to improve this question? Update the question so it’s on-topic for Stack Overflow. Closed last year. Improve this question When I trained my neural network with Theano or Tensorflow, they will report a variable called “loss” per epoch. How … Read more
Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers. Want to improve this question? Update the question so it’s on-topic for Stack Overflow. Closed last year. Improve this question When we have to predict the value of a categorical (or discrete) outcome we use logistic regression. I believe we … Read more
From the Udacity’s deep learning class, the softmax of y_i is simply the exponential divided by the sum of exponential of the whole Y vector: Where S(y_i) is the softmax function of y_i and e is the exponential and j is the no. of columns in the input vector Y. I’ve tried the following: import … Read more
Closed. This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed 1 year ago. Improve this question In terms of artificial intelligence and machine learning, what is the difference between supervised and … Read more
Let’s say I have a 1d numpy array a = array([1,0,3]) I would like to encode this as a 2D one-hot array b = array([[0,1,0,0], [1,0,0,0], [0,0,0,1]]) Is there a quick way to do this? Quicker than just looping over a to set elements of b, that is. 22 Answers 22
This question already has answers here: What are logits? What is the difference between softmax and softmax_cross_entropy_with_logits? (7 answers) Closed 1 year ago. In the following TensorFlow function, we must feed the activation of artificial neurons in the final layer. That I understand. But I don’t understand why it is called logits? Isn’t that a … Read more
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In the tensorflow API docs they use a keyword called logits. What is it? A lot of methods are written like: tf.nn.softmax(logits, name=None) If logits is just a generic Tensor input, why is it named logits? Secondly, what is the difference between the following two methods? tf.nn.softmax(logits, name=None) tf.nn.softmax_cross_entropy_with_logits(logits, labels, name=None) I know what tf.nn.softmax … Read more
Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers. Want to improve this question? Update the question so it’s on-topic for Stack Overflow. Closed last year. Improve this question I’ve been developing an internal website for a portfolio management tool. There is a lot of text data, company names … Read more
Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers. Want to improve this question? Update the question so it’s on-topic for Stack Overflow. Closed last year. Improve this question What is the difference between epoch and iteration when training a multi-layer perceptron? 14 Answers 14 In the neural network … Read more
