安裝中文字典英文字典辭典工具!
安裝中文字典英文字典辭典工具!
|
- How do you visualize neural network architectures?
It's sort of a combination of Netron and wandb watch It can: Interactively traverse model architectures, showing input output tensor sizes and module parameters Visualize module input output tensors, parameters, and associated gradients as histograms over the course of training (modeled off of wandb watch)
- Using emmeans for LMEM continious outcome - Data Science Stack Exchange
I'm using a dataset in R, on which I performed a linear mixed model with random intercept and slope (lme from nlme package) Now, this was all fine I only have one fixed effect (time) and my outco
- NLP : How to clean the data of a conversation correctly?
So should I keep that line? That depends purely on your goal use-case The yyy suggest vocalization (non-lexical sound) Do you want to need to have similar instances in your final data? In general, I would say you want to: Keep similar instances if you are doing: analysing of interactions complete interaction transcripts language acquisition research Remove them if you focus on: pure NLP
- Tensorflow, how many layers does this model have?
I'm very new to machine learning and I'm not sure about Tensorflow implementation of neural network model How many layers does the model below have? model = Sequential () model add (Dense (200,
- Does Tensorflow uses vectorization in its operators
I'm kinda new to tensorflow and just wanted to know if it already performs vectorization in its operators like multiplying matrices and so on And if not if its doable As an example let's say we
- time series prediction with large number of static features
Need to make time series prediction on a large data set There are both static and dynamic features Static features like (store location id 10k+) and dynamics features like daily sales and daily w
- Detect References and Citations in Documents
I'm looking for a solution to detect references and citations in documents As instance a references is " [ ] related to section 3 1 of document XY" As far as I know, there are two appro
- Does the count of items in a transaction matter to apriori?
No it is not important and highly recommended to remove the duplicate items and sort the items in lexicographical order in each transaction This is to improve the performance In association rule mining, an item is frequent iff it is repeated in multiple transactions not in a single transaction This is why you don't need to have duplicate items in a each transaction
|
|
|