Google Assistant vs. Pytorch

1. For quick timing and scheduling calls - As I can just say, ok google, I want to have a call with {teammate's name} today, can you find a. time of 30mins for me sometime this week?
2. Can you answer on the design pattern which Netflix uses for next video

Incentivized

They have created Pytorch Lightening on top of Pytorch to make the life of Data Scientists easy so that they can use complex models they need with just a few lines of code, so it's becoming popular. As compared to TensorFlow(Keras), where we can create custom neural networks by just adding layers, it's slightly complicated in Pytorch.

Incentivized

• To-do lists and task boards so I can work on it better, and can ask quickly on what I need to do.
• Saves time and increases efficiency - I can ask and can answer relevant answers
• Set-up meetings - quickly scheduling and checking for time which suits all people

Incentivized

• Provides Benchmark datasets to test your custom algorithm
• Provides with a lot of pre-coded neural net components to use for your flow
• Gives a framework to write really abstract code.

Incentivized

• It switches on without even calling sometimes, which makes me little insecure
• Has few trouble with hindi accent, tough for me (indian)

Incentivized

• Distributed data parallel still seems to be complicated
• Support for easy deployment to servers
• Torchvision to have support for latest models with pertained weights

Incentivized

I chose this because it was easier for me and can be accessed via mobile and laptop too because it enables cross device support because it helps in adding more depth to my life, and can help me save tons of time.

Incentivized

As I described in previous statements, Pytorch is much better suited than TensorFlow from a software development look. This Pythonic idea was then taken and repeated by all the other frameworks. You can get to better performance models by better understanding the deep learning model code, so I think the choice of Pytorch is easy and simple.

Incentivized

• positive because it saves my time and improves productivity
• I can do quick research based on my thoughts and even asking it to write notes

Incentivized

• I'd estimate I can build a model 50% faster on pytorch vs other frameworks

Incentivized