Intro to TensorFlow Labs
Lab 1: Intro to Tensorflow and MLP's for Sentiment Analysis
Lab 1 can be found at
Lab 2: LSTM's for Sequence Modeling
Lab 2 can be found at
Running the labs
The labs are jupyter notebooks, so run
jupyter notebook in this directory, and then click on the proper file name in jupyter to open it.
Please copy the following commands to your bash terminal:
If you are using pip:
git clone https://github.com/yala/introdeeplearning; cd introdeeplearning; pip install virtualenv; virtualenv intro_dl; source intro_dl/bin/activate; pip install --upgrade pip; pip install tensorflow; pip install matplotlib; pip install pandas; pip install jupyter; python -m ipykernel install --user --name=intro_dl echo 'done'; jupyter notebook
From within jupyter, in the top-right corner, select the kernel named "intro_dl". This is the kernel that will have the contents of your virtualenv.
git clone https://github.com/yala/introdeeplearning; cd introdeeplearning; conda create -n intro_dl; source activate intro_dl; conda install -c conda-forge tensorflow; pip install matplotlib; pip install pandas; conda install jupyter; echo 'done'; jupyter notebook
If you don't have git
- Just click "Clone or Download Button" and then click 'Download Zip' on this page: https://github.com/yala/introdeeplearning