Daniel Haehn PRO
Hi, I am a biomedical imaging and visualization researcher who investigates how computational methods can accelerate biological and medical research.
Please stay healthy and well!
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5/22
Team Selection
Client Presentations
Project Proposal
Revised Project Proposal
Final Project Documentation
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Project Presentations
5/04
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Implementation / Testing / Deployment
38 Days
Full-Power
in the next 2 weeks
No Class!
4/29 Project Status Meeting
Remote Lectures
All Meetings
Schedule here:
or send an email!
80% of final grade
1936 Turing Machine
1950 Turing Test
Text
1956 AI Research
Artificial General Intelligence
Supervised Learning
MNIST
9
Convolutional Neural Network
GIBBS Cluster
conda install keras-gpu
conda install pytorch
conda install pillow
1. Load Data
2. Setup Network
3. Train Network
4. Predict!
4 Steps
Data
Training
Testing
2
Label
?
Label
But we know the answer!
X_train
y_train
X_test
y_test
Setup Network
NUMBER_OF_CLASSES = 10
model = keras.models.Sequential()
model.add(keras.layers.Conv2D(32, kernel_size=(3, 3),
activation='relu',
input_shape=first_image.shape))
model.add(keras.layers.Conv2D(64, (3, 3), activation='relu'))
model.add(keras.layers.MaxPooling2D(pool_size=(2, 2)))
model.add(keras.layers.Dropout(0.25))
model.add(keras.layers.Flatten())
model.add(keras.layers.Dense(128, activation='relu'))
model.add(keras.layers.Dropout(0.5))
model.add(keras.layers.Dense(NUMBER_OF_CLASSES, activation='softmax'))
model.compile(loss=keras.losses.categorical_crossentropy,
optimizer=keras.optimizers.Adadelta(),
metrics=['accuracy'])
Train Network
9
Training Data
Then we check how well the network predicts the testing data!
?
Loss
should go down!
Repeated.. (1 run is called an epoch)
Predict!
Testing Data
0 0 0
1 1 1
2 2 2
3 3 3
4 4 4
5 5 5
6 6 6
7 7 7
8 8 8
9 9 9
Measure how well the CNN does...
Text
(60000, 28, 28, 1)
(0,0,0,0,0,1,0,0,0,0)
First X_test image
cat
Convolutional Neural Network
Agile
Methodology
Predictive!
Requires extreme planning
Takes long to get product
Not adaptive to new technology
During Verification, a lot of unexpected issues arise!
Software is complex, can't be 100% predicted.
Software sometimes does not meet original requirements.
Product could be outdated when finished.
Scrum!
Sprints
1-4 Weeks
1-4 Weeks
Whats needs to be done...
Holds team responsible...
Builds the product..
Software Engineering 101
Software Development Model
Todo List
Action Plan
Daily Meetings during Sprint
Delivery
What went well? What did not..?
Lean Startup
Create and evaluate product as fast as possible
cat
Convolutional Neural Network
Original Dataset
CS410 Dataset
By Daniel Haehn
Hi, I am a biomedical imaging and visualization researcher who investigates how computational methods can accelerate biological and medical research.