Skip to content
No description, website, or topics provided.
Python
Branch: master
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
task1
task2
task3
task4
task5
.gitignore
Project Presentation.pdf
README.md

README.md

DLCV-05

Our team was composed by:

Albert Jiménez, Marc Górriz, Adrià Romero, Michelle Compri, Denjj Osele

Project

[Project Slides] (https://github.com/telecombcn-dl/dlcv05/blob/master/Project%20Presentation.pdf)

[Presentation] (https://docs.google.com/presentation/d/1mflcMsA4rgJHat2hwqVu6zJjPiipFmea3BJUwwSxVtI/edit#slide=id.g14a9129f29_0_0)

Task 1: Architecture

Build your own network to solve a classification task.

Script mnist_cnn.py:

  • Options added at the beginning of the script
  • We can save and load trained models
  • We have the value of the loss & accuracy at each epoch
  • Save total time computed

Script cifar10_cnn.py:

  • Options added at the beginning of the script
  • We can save and load trained models
  • We have the value of the loss & accuracy at each epoch
  • Save total time computed

Script mnist_cnn_3layers.py:

  • Custom architecture proposed

If you are saving the model be careful when setting the paths and the name not to overwrite!

Task 2: Training

Objectives:

Study the impact in performance of:

  • Data augmentation.
  • Sizes of the training batches.
  • Batch normalization

Overfitting:

  • Force an overfitting problem.
  • Investigate if regularization (eg. drop out) reduces/solves it.

Task 3: Visualization

Objective: Visualize filter responses

  • There is the code to visualize the value of the weight as well as the output of every filter in our custom architecture on mnist database.

Task 4: Transfer Learning

(Experimental code ... not working properly when fine tuning)

Train a network over CIFAR-10 and fine-tune over Terrassa Buildings 900.

Off the Shelf VGG-16

  • Freeze weight in all layers but the last one, and replace it with a softmax to solve Terrassa Buildings 900.

Task 5: Open Project

Adquire knwoledge and insights about what is happening inside the deepdream network.

  • Deepdream modify the images it is given as an input enhancing some features depending on the layer we choose to boost.
  • Lower layers focus on simpler features (edges, orientation, shapes)
  • Higher layers focus on concrete objects that have been seen during training
You can’t perform that action at this time.