mAP
09
Jan
1
Quantum Machine Learning; Practical Object Detector
#CellStratAILab #disrupt4.0 #WeCreateAISuperstars CellStrat is India’s No 1 open AI Lab with more than 120 AI researchers and interns engaged in advanced AI skilling and research. The first AI Lab meetup in this New Year 2020 saw amazing demos and presentations by our AI Lab members. Quantum Machine Learning (Quantum Computing) :- First Niraj Kale […]
Tags:
Bernstein–Vazirani,
boch sphere,
Constrained Scheduling,
constraint satisfaction problem,
data augmentation,
data collection,
Dwave,
entanglement,
Fast RCNN,
Faster RCNN,
feature extractor,
googlenet,
image classification,
image processing,
IOU,
mAP,
Mobilenet,
object detection,
p-bit,
qGANs,
QisKit QSVM,
quantum annealing,
quantum computing,
Quantum counting,
quantum data,
quantum gates,
quantum machine learning,
quantum neural network,
Quantum phase estimation algorithm,
quantum tunnelling,
RCNN,
Region proposals,
Shor's algorithm,
single shot detector,
superposition,
tensorflow,
02
Aug
Meeting Minutes from AI Lab session on Saturday 27th July in Bengaluru
#CellStratAILab #disrupt4.0 #WeCreateAISuperstars CellStrat AI Lab had intense Lab meetups last Saturday in Bengaluru at our Bellandur and Hebbal locations. CellStrat AI Researcher Abdul Azeez spoke on Object Detection using a variety of techniques, starting with a traditional method called Viola/Jones Face Detector. This is a popular method for real time object detection (e.g. used […]