🔻Some quick tips for #TensorFlow
some quick tips, mostly focused on performance, that reveal common pitfalls and may boost your model and #training performance to new levels. We'll start with preprocessing and your input pipeline, visit graph construction and move on to debugging and performance #optimizations.
1. Preprocessing and input pipelines
Keep #preprocessing clean and lean
2. Watch your queues
3. Graph construction and training
Finalize your graph
4. Profile your #graph
5. Watch your memory
6. #Debugging
Print is your friend
7. Set an operation execution timeout
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link: https://www.deeplearningweekly.com/blog/tensorflow-quick-tips/
📌Via: @cedeeplearning
#deeplearning
#neuralnetworks
#machinelearning
some quick tips, mostly focused on performance, that reveal common pitfalls and may boost your model and #training performance to new levels. We'll start with preprocessing and your input pipeline, visit graph construction and move on to debugging and performance #optimizations.
1. Preprocessing and input pipelines
Keep #preprocessing clean and lean
2. Watch your queues
3. Graph construction and training
Finalize your graph
4. Profile your #graph
5. Watch your memory
6. #Debugging
Print is your friend
7. Set an operation execution timeout
—————————————————
link: https://www.deeplearningweekly.com/blog/tensorflow-quick-tips/
📌Via: @cedeeplearning
#deeplearning
#neuralnetworks
#machinelearning