SoTA Deep Learning models are often heavy in sizes and this makes it extremely challenging when it comes to deploying them. Think of deploying to mobile devices, Raspberry Pis, etc. The compute capability of these won't support those heavyweight models. This session is going to be about optimizing Deep Learning models to make them eligible for deployment to broad set of devices. We will covering t
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SoTA Deep Learning models are often heavy in sizes and this makes it extremely challenging when it comes to deploying them. Think of deploying to mobile devices, Raspberry Pis, etc. The compute capability of these won't support those heavyweight models. This session is going to be about optimizing Deep Learning models to make them eligible for deployment to broad set of devices. We will covering techniques like Pruning, Quantization and along the way we will also be discussing some practical tips and tricks to make them work really well.
This is a community event in collaboration with deeplearning.ai. Please complete your registration
Registration Link
https://docs.google.com/forms/d/1OCi5r59xDhy3DezDB5jnm-HhtjFSlb3bIQHHvc74g_k/edit
Event Joining Details.
Cogniwonk is inviting you to a scheduled Zoom meeting.
Topic: Model Optimization 101
Time: Jun 6, 2020 05:00 PM India
Join Zoom Meeting
https://us02web.zoom.us/j/88656182656
Meeting ID: 886 5618 2656
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