RetinaFace
#ml #dl #face #detection #image #processing
#ml #dl #face #detection #image #processing
As I’ve said last time we’re going to do some visualization exercises by using matplotlib animation and some custom made charts.
My last post received quite some responses, but before actually settling on the curricula of the upcoming ML course, I’ve decided to “eat my own lunch” and u...
#ml #dl #face #detection #image #processing
#dl #ml #computer #vision #image #processing #face #recognition #deep-fakes
#ml #dl #nlp
#ml #dl #face #detection #image #processing
#dl #ml #computer #vision #image #processing #face #recognition #deep-fakes
#ml #dl #nlp
Mean Shift Clustering
On HackerNews there was a topic discussed at some point about ways to distil knowledge from a complex (almost black box) large tree ensemble (a RandomForest ...
It is sometimes useful to be able to convert a decision tree into and actual useful code snippet. This notebook shows how you’d go around to achieve this.
#dl #ml #computer #vision #image #processing #face #recognition #deep-fakes
Working with cool projects
My last post received quite some responses, but before actually settling on the curricula of the upcoming ML course, I’ve decided to “eat my own lunch” and u...
Building a recommender system
On HackerNews there was a topic discussed at some point about ways to distil knowledge from a complex (almost black box) large tree ensemble (a RandomForest ...
It is sometimes useful to be able to convert a decision tree into and actual useful code snippet. This notebook shows how you’d go around to achieve this.
#ml #dl #face #detection #image #processing
The problem
Intuition
Goal: SIGINT (i.e. Signals Inteligence)
Summary
#dl #ml #computer #vision #image #processing #face #recognition #deep-fakes
#ml #gridsearch #visualisation #dendogram
On HackerNews there was a topic discussed at some point about ways to distil knowledge from a complex (almost black box) large tree ensemble (a RandomForest ...
It is sometimes useful to be able to convert a decision tree into and actual useful code snippet. This notebook shows how you’d go around to achieve this.
#ml #dl #face #detection #image #processing
20220209191322
#ml #dl #nlp
#ml #dl #face #detection #image #processing
#dl #ml #computer #vision #image #processing #face #recognition #deep-fakes
#ml #dl #face #detection #image #processing
#ml #dl #nlp
Intuition
#engineering #python
#ml #dl #face #detection #image #processing
#dl #ml #computer #vision #image #processing #face #recognition #deep-fakes
#ml #dl #face #detection #image #processing
#dl #ml #computer #vision #image #processing #face #recognition #deep-fakes
There is this chart from Alec Radford that became quite famous for showing a comparative run between different optimizers.
Training an RNN with teacher forcing. 20200608182759
Cross entropy can be used to define a loss function in machine learning and is usually used when training a classification problem.
The problem
#ml #dl #face #detection #image #processing
#ml #gridsearch #visualisation #dendogram
Working with cool projects
#ml #dl #face #detection #image #processing
#dl #ml #computer #vision #image #processing #face #recognition #deep-fakes
Summary
import pandas as pd import numpy as np
The problem
Intuition
Goal: SIGINT (i.e. Signals Inteligence)
Summary
#ml #dl #nlp
#ml #dl #face #detection #image #processing
#learning #teaching
Cross entropy can be used to define a loss function in machine learning and is usually used when training a classification problem.
#ml #dl #nlp
#ml #gridsearch #visualisation #dendogram
#ml #optimisation
#ml #dl #nlp
#ml #dl #face #detection #image #processing
#dl #ml #computer #vision #image #processing #face #recognition #deep-fakes
Summary
Building a recommender system
#ml #dl #nlp
import pandas as pd import numpy as np
The problem
Intuition
Goal: SIGINT (i.e. Signals Inteligence)
Goal: SIGINT (i.e. Signals Inteligence)
#ml #optimisation
On HackerNews there was a topic discussed at some point about ways to distil knowledge from a complex (almost black box) large tree ensemble (a RandomForest ...
It is sometimes useful to be able to convert a decision tree into and actual useful code snippet. This notebook shows how you’d go around to achieve this.
There is this chart from Alec Radford that became quite famous for showing a comparative run between different optimizers.
#dl #ml #computer #vision #image #processing #face #recognition #deep-fakes
#romanian #pilon-ii #pensii-private
#romanian #pilon-ii #pensii-private
Today we will be talking about predicting house prices using Scikit-learn
#ml #dl #face #detection #image #processing
#dl #ml #computer #vision #image #processing #face #recognition #deep-fakes
#ml #dl #face #detection #image #processing
#engineering #python
As I’ve said last time we’re going to do some visualization exercises by using matplotlib animation and some custom made charts.
Getting data of an election
My last post received quite some responses, but before actually settling on the curricula of the upcoming ML course, I’ve decided to “eat my own lunch” and u...
Working with cool projects
#ml #dl #face #detection #image #processing
#dl #ml #computer #vision #image #processing #face #recognition #deep-fakes
Building a recommender system
Training an RNN with teacher forcing. 20200608182759
Today we will be talking about predicting house prices using Scikit-learn
#ml #dl #face #detection #image #processing
#dl #ml #computer #vision #image #processing #face #recognition #deep-fakes
#dl #ml #computer #vision #image #processing #face #recognition #deep-fakes
#ml #dl #nlp
#ml #dl #face #detection #image #processing
#romanian #pilon-ii #pensii-private
Hide 10 needles in the haystack
#ml #dl #nlp
import pandas as pd import numpy as np
#statistic #statistics #statistical
#statistic #statistics #statistical
#statistic #statistics #statistical
#learning #teaching
#learning #teaching
#ml #dl #nlp
There is this chart from Alec Radford that became quite famous for showing a comparative run between different optimizers.
Training an RNN with teacher forcing. 20200608182759
import pandas as pd import numpy as np
import pandas as pd import numpy as np
Building a recommender system
Today we will be talking about predicting house prices using Scikit-learn
#ml #dl #face #detection #image #processing
#dl #ml #computer #vision #image #processing #face #recognition #deep-fakes
#dl #ml #computer #vision #image #processing #face #recognition #deep-fakes
#ml #gridsearch #visualisation #dendogram
There is this chart from Alec Radford that became quite famous for showing a comparative run between different optimizers.
As I’ve said last time we’re going to do some visualization exercises by using matplotlib animation and some custom made charts.
#ml #dl #nlp