Hanane
Meftahi
Computer Engineer
"Convolutional Neural Network (Deep Learning)"
"Convolutional Neural Network (Deep Learning)"
Wed June 9 - 5:50 AM EDT/New York (See in local time)
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04//2024 5:50 AM
04//2024 06:10 AM
America/New_York
#WTGC2024
"Convolutional Neural Network (Deep Learning)"
#WTGC2024
"Convolutional Neural Network (Deep Learning)"
https://app.events.ringcentral.com/events/women-in-tech-global-conference-2024/reception
https://www.womentech.net/vfairs
"Convolutional Neural Network (Deep Learning)"
"Convolutional Neural Network (Deep Learning)"
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Session: Convolutional Neural Network (Deep Learning)
One of the basic human abilities is to analyze their environment. This involves in most cases recognizing the elements of our field of vision: finding others, identifying cars, animals, etc. This task was difficult for a computer until the emergence of convolutional neural networks in 2012. Luckily, the approach of these networks inspired by our visual cortex has opened many applications, whether in medical imaging, or autonomous cars…ect.First of all I will give a brief introduction on Deep Learning and Artificial Neural networks then i will explain how a convolutional neural network works. In particular, I will present the different elements of a CNN architecture (convolutions, pooling, ReLU, flattening, dense ...) and real networks used in production.
Key Takeaways
- Artificial Intelligence /Deep learning
- Artificial neural networks /Convolutional Neural Networks
- Transfer Learning
Bio
Computer Engineer/Android Developer/Data Scientist