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Raja Sundaresan
Raja Sundaresan

Raja Sundaresan

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From Probability concepts explained: Introduction by Jonny Brooks-Bartlett

…of events include rolling a die or pulling a coloured ball out of a bag. In these examples the outcome of the event is random (you can’t be sure of the value that the die will show when you roll it), so the variable that represents the outcome of these events is called a random variable (often abbreviate…

From Exporting trained TensorFlow models to C++ the RIGHT way! by Hamed MP

ile into one file…. For more example of how to use it, you can refer to “freeze_graph_test.py” file. To summarize, It will combine the graph structure with the values from checkpoint file into one file, so when you import it to your C++ code, it has both your network architecture and your trained variables value.

Claps from Raja Sundaresan

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Deep Learning Performance Cheat Sheet

Christopher Dossman

When Bayes, Ockham, and Shannon come together to define machine learning

Tirthajyoti Sarkar

CatBoost vs. Light GBM vs. XGBoost

Alvira Swalin