How to interpret loss and accuracy for a machine learning model [closed]
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machine-learning
What is the difference between linear regression and logistic regression? [closed]
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How to implement the Softmax function in Python
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 … Read more
What is the difference between supervised learning and unsupervised learning? [closed]
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Convert array of indices to 1-hot encoded numpy array
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 … Read more
What is the meaning of the word logits in TensorFlow? [duplicate]
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. … Read more
What are advantages of Artificial Neural Networks over Support Vector Machines? [closed]
As it currently stands, this question is not a good fit for our Q&A format. We expect answers to be supported by facts, … Read more
What are logits? What is the difference between softmax and softmax_cross_entropy_with_logits?
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) … Read more
How does the Google “Did you mean?” Algorithm work? [closed]
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Epoch vs Iteration when training neural networks [closed]
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