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I see in some question/answers that ask to decrease the learning rate. But I don't know how can I see and change the learning rate of LSTM model in Keras...
Asked on 07/13/2021
1 answerLet's say I have system A, B, C, and D. Each system contains 10,000 numbers generated by Poisson distribution. The difference is the mean is different for different systems. I...
Asked on 07/13/2021
2 answerI am trying to visualize Skin Cancer Images using Keras. I have imported the images in my notebook and have created batch datasets using Keras.image_dataset_from_directory. The code is as follows:...
Asked on 07/13/2021 by Anubhav Sachdev
1 answerI'm trying to create a neural network in keras for time series forecast. I've build a concept, and now I'm not quite sure if it is possible to implement using...
Asked on 07/13/2021 by Georgy Firsov
0 answerI am using IterativeImputer to impute my dataset.from sklearn.experimental import enable_iterative_imputer from sklearn.impute import IterativeImputerimp = IterativeImputer(random_state=0, max_iter=100, verbose=10)imp.fit(hosp)hosp_imputed = pd.DataFrame(imp.transform(hosp), columns=cols)...
Asked on 07/12/2021 by Smitha
1 answerI am trying to remove seasonality and trends from my time series data. I found this post that said to use df_diff = df.diff().diff(12).dropna() (https://www.tobiolabode.com/blog/2020/12/30/how-to-convert-non-stationary-data-into-stationary-for-arima-model-with-python). I don't...
Asked on 07/12/2021 by user118151
1 answerI have a dataset 12 videos. Each video is comprised of 179 frames. On these frames, I have applied ResNet-50 to extract features, and I received (179,7,7,2048) features. As far...
Asked on 07/12/2021
0 answerI have a high number of npy files (448 files) each consisting of around 12k frames (150x150 RGB images) which together make the input to my neural network (X). However,...
Asked on 07/12/2021 by Amin Marshal
1 answerI'm trying to use the function missForest() of the library 'missForest' but I always get the same error message. This is the code: libraries:library(dplyr)library(naniar)library(missForest)data:url <- 'https://archive.ics.uci.edu/ml/machine-learning-databases/credit-screening/crx.data'crx <- read.csv(url,...
Asked on 07/12/2021
1 answerI've learned machine learning via textbooks and examples, which don't delve into the engineering challenges of working with "big-ish" data like Kaggle's. As a specific example, I'm working on the...
Asked on 07/12/2021
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