Applied Deep Learning
This is a hands-on introduction to deep learning using Tensorflow, Google’s open-source framework for machine learning.
The workshop is project-based, leading participants through the process of building a machine learning-based image recognition application from scratch.
Participants will master a critical subset of the Tensorflow API: tensor manipulation, the graph, dataset IO, stacking network layers, eager mode, training, and model export. Knowing how to put those pieces together at a practical API level empowers the participant to start solving problems and experimenting with what works.
The workshop will build intuition and understanding, through examples and applications, of the foundational ML concepts necessary for effectiveness: optimization, convolutional neural networks, loss functions, and validation. You will also learn essential tips and tricks to get optimal model performance: hyper-parameter tuning, data augmentation, architecture design, and filter visualization via deconvolution.
There will be ample time for practicing fundamentals, asking questions, and exploring beyond the presented material. We are here to help you interalize this material, make it your own, and have fun while doing it!
DATES
Saturday, November 10, 2018
9:00 AM – 5:00 PM
Arrive 8:45 AM
Sunday, November 11, 2018
9:00 AM – 5:00 PM
Arrive 8:45 AM
LOCATION
Kitchen Table Coders
274 Morgan Ave
Brooklyn, NY 11211
Subway: L Grand Stop
TICKETS
$1250 Corporate
$800 Indie
Cost is full admission to the two-day program. Breakfast and lunch are provided on both days.
If your company would like to sponsor the event please get in touch at hello@kitchentablecoders.com.
If you would like to attend but for various reasons cannot due to the cost we are offering a very limited number of need based tickets. Please get in touch at hello@kitchentablecoders.com.
This is a hands-on introduction to deep learning using Tensorflow, Google’s open-source framework for machine learning.
The workshop is project-based, leading participants through the process of building a machine learning-based image recognition application from scratch.
Participants will master a critical subset of the Tensorflow API: tensor manipulation, the graph, dataset IO, stacking network layers, eager mode, training, and model export. Knowing how to put those pieces together at a practical API level empowers the participant to start solving problems and experimenting with what works.
The workshop will build intuition and understanding, through examples and applications, of the foundational ML concepts necessary for effectiveness: optimization, convolutional neural networks, loss functions, and validation. You will also learn essential tips and tricks to get optimal model performance: hyper-parameter tuning, data augmentation, architecture design, and filter visualization via deconvolution.
There will be ample time for practicing fundamentals, asking questions, and exploring beyond the presented material. We are here to help you interalize this material, make it your own, and have fun while doing it!
DATES
Saturday, November 10, 2018
9:00 AM – 5:00 PM
Arrive 8:45 AM
Sunday, November 11, 2018
9:00 AM – 5:00 PM
Arrive 8:45 AM
LOCATION
Kitchen Table Coders
274 Morgan Ave
Brooklyn, NY 11211
Subway: L Grand Stop
TICKETS
$1250 Corporate
$800 Indie
Cost is full admission to the two-day program. Breakfast and lunch are provided on both days.
If your company would like to sponsor the event please get in touch at hello@kitchentablecoders.com.
If you would like to attend but for various reasons cannot due to the cost we are offering a very limited number of need based tickets. Please get in touch at hello@kitchentablecoders.com.