
So, I’m having difficulty getting RMSprop and Adam to work. I’ve correctly implemented Momentum as an optimizing algorithm, meaning that, …
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from sklearn.model_selection import train_test_split X_train, X_test, y_train, y_test = train_test_split(df, y) X_train = torch.from_numpy(X_train.to_numpy()).float() X_test = torch.from_numpy(X_test.to_numpy()).float() y_test = torch.squeeze(torch.from_numpy(y_test.to_numpy()).float()) …
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Thank you for your Time! I am trying to construct a Neural Network for regression predicting a discrete value, but …
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I am wondering how I can formate my data, a list of 1000 numeric features, into a shape that my …
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I am building a regression model for a target variable which is heavy tailed. I want to augment data so …
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Python programming: x_train.shape is (60000,28,28,1) How I can convert my data to (60000,28,28) When I type x_train[0] , it can …
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i m new in machine learning and i am create a one small project using CountVectorizer model. i am split …
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I am currently exploring Tensorflow distributed. In a normal case it is very easy to access and manipulate the gradients …
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I had tried to use sklearn RandomForestRegressor as a model. My data input contains 58 data points, and I set …
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