syllabus

Notebooks describe tasks, contain the code, references to the code in other modules.

Assignement 1:

How to run code

1. Install and activate virtual environment:

cd assignment1
pip2 install virtualenv
virtualenv .env
source .env/bin/activate

2. Install dependencies:

pip2 install -r requirements.txt

3. Download data:

cd cs231n/datasets
./get_datasets.sh
cd assignment1/cs231n

4. Run jupyter:

cd assignment1
jupyter notebook

Note: for Mac OS X run ./start_ipython_osx.sh instead of jupyter notebook

5. open browser at localhost:8888/

6. Run notebooks.

Assignement 2:

How to run code

1. Install and activate virtual environment:

cd assignment2
pip2 install virtualenv
virtualenv .env
source .env/bin/activate

2. Install dependencies:

pip2 install -r requirements.txt

3. Download data:

cd cs231n/datasets
./get_coco_captioning.sh
./get_tiny_imagenet_a.sh
./get_pretrained_model.sh

4. Build Cython modules:

cd assignment2/cs231n
python2 setup.py build_ext --inplace # build C code

5. Run jupyter:

cd assignment2
jupyter notebook

6. Note: for Mac OS X run ./start_ipython_osx.sh instead of jupyter notebook

7. open browser at localhost:8888/

Assignement 3:

How to run code

1. Install and activate virtual environment:

cd assignment3
pip2 install virtualenv
virtualenv .env
source .env/bin/activate

2. Install dependencies:

pip2 install -r requirements.txt

3. Download data:

cd cs231n/datasets
./get_datasets.sh                # download dataset

4. Build Cython modules:

cd assignment3/cs231n
python3 setup.py build_ext --inplace # build C code

5. Run jupyter:

cd assignment3
jupyter notebook

borislavmavrin / cs231n Goto Github PK

cs231n's Introduction

Assignements for Stanford course cs231n Convolutional Neural Networks for Visual Recognition http://cs231n.stanford.edu/2016/syllabus

Notebooks describe tasks, contain the code, references to the code in other modules.

Assignement 1:

How to run code

1. Install and activate virtual environment:

2. Install dependencies:

3. Download data:

4. Run jupyter:

Note: for Mac OS X run ./start_ipython_osx.sh instead of jupyter notebook

5. open browser at localhost:8888/

6. Run notebooks.

Assignement 2:

How to run code

1. Install and activate virtual environment:

2. Install dependencies:

3. Download data:

4. Build Cython modules:

5. Run jupyter:

6. Note: for Mac OS X run ./start_ipython_osx.sh instead of jupyter notebook

7. open browser at localhost:8888/

Assignement 3:

How to run code

1. Install and activate virtual environment:

2. Install dependencies:

3. Download data:

4. Build Cython modules:

5. Run jupyter:

6. Note: for Mac OS X run ./start_ipython_osx.sh instead of jupyter notebook

7. open browser at localhost:8888/

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