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Home
Data Modelling
Deep Learning
Deep Learning
Data Modelling
Attention and Memory in Deep Learning and NLP
Dominic Rubhabha Wardslaus
-
21 September 2023
Data Modelling
Deep Learning, IoT Sensor Data…and Bats!
Data Modelling
Productionizing Deep Learning from the Ground Up – Adam Gibson ODSC Boston 2015
Data Modelling
Deep Learning as the apotheosis of Test-Driven Development
Data Modelling
Transfer Learning – Machine Learning’s Next Frontier
Data Modelling
TensorFlow and Queues
Dominic Rubhabha Wardslaus
-
21 September 2023
0
Data Modelling
Algorithms are Black Boxes, That is Why We Need Explainable AI
Dominic Rubhabha Wardslaus
-
21 September 2023
0
Data Modelling
Recurrent Neural Networks for Text Analysis – Alec Radford ODSC Boston 2015
Dominic Rubhabha Wardslaus
-
21 September 2023
0
Data Modelling
DIY Deep Learning with Caffe Workshop – Kate Saenko ODSC Boston 2015
Dominic Rubhabha Wardslaus
-
21 September 2023
0
Data Modelling
Scalable Data Science and Deep Learning with H2O – Arno Candel ODSC Boston 2015
Dominic Rubhabha Wardslaus
-
21 September 2023
0
Data Modelling
HACKER’S GUIDE TO NEURAL NETWORKS, #2
Dominic Rubhabha Wardslaus
-
21 September 2023
0
Data Modelling
ConceptNet 5.5 and conceptnet.io
Dominic Rubhabha Wardslaus
-
21 September 2023
0
Data Modelling
Cognitive Machine Learning (1): Learning to Explain
Dominic Rubhabha Wardslaus
-
21 September 2023
0
Data Modelling
On word embeddings – Part 1
Dominic Rubhabha Wardslaus
-
21 September 2023
0
Data Modelling
Twelve types of Artificial Intelligence (AI) problems
Dominic Rubhabha Wardslaus
-
21 September 2023
0
Data Modelling
On word embeddings – Part 2: Approximating the Softmax
Dominic Rubhabha Wardslaus
-
21 September 2023
0
Data Modelling
TensorFlow as a Distributed Virtual Machine
Dominic Rubhabha Wardslaus
-
21 September 2023
0
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