Personal Information
Entreprise/Lieu de travail
Copenhagen Area, Capital Region, Denmark Denmark
Profession
Author, Data Scientist, Engineer (Deep learning - Computer Vision)
Secteur d’activité
Technology / Software / Internet
À propos
Amgad has more than 11 years of experience with a professional altitude grounded in the cross-cutting knowledge and practice of both data science and engineering. With strong leadership and the capacity to work as a team player, Amgad helped teams to implement and deliver different machine learning systems utilizing stat-of-the-art deep learning architectures in different disciplines including computer vision and NLP.
Amgad is also a published author focusing on helping software developers to build vision-aware and intelligent applications.
Mots-clés
machine learning
deep learning
object detection
cnn
computer vision
gpu
cuda
caffe
dnn
law of large numbers
pca
autoencoder
best practices
mobile development
performance
android
unsupervised feature learning
sparse-auto encoders
gfs
distributed file systems
python
dynamic typing
Tout plus
Présentations
(7)J’aime
(1)Fighting financial fraud at Danske Bank with artificial intelligence
Ron Bodkin
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il y a 6 ans
Personal Information
Entreprise/Lieu de travail
Copenhagen Area, Capital Region, Denmark Denmark
Profession
Author, Data Scientist, Engineer (Deep learning - Computer Vision)
Secteur d’activité
Technology / Software / Internet
À propos
Amgad has more than 11 years of experience with a professional altitude grounded in the cross-cutting knowledge and practice of both data science and engineering. With strong leadership and the capacity to work as a team player, Amgad helped teams to implement and deliver different machine learning systems utilizing stat-of-the-art deep learning architectures in different disciplines including computer vision and NLP.
Amgad is also a published author focusing on helping software developers to build vision-aware and intelligent applications.
Mots-clés
machine learning
deep learning
object detection
cnn
computer vision
gpu
cuda
caffe
dnn
law of large numbers
pca
autoencoder
best practices
mobile development
performance
android
unsupervised feature learning
sparse-auto encoders
gfs
distributed file systems
python
dynamic typing
Tout plus