Teoria Deep Learning: esta bueno https://ccc.inaoep.mx/~emorales/Cursos/Aprendizaje2/Acetatos/deeplearning.pdf
(base) [j3nnn1@itup ~]$ jupyter notebook [I 16:31:02.193 NotebookApp] JupyterLab extension loaded from /home/j3nnn1/anaconda3/lib/python3.8/site-packages/jupyterlab [I 16:31:02.193 NotebookApp] JupyterLab application directory is /home/j3nnn1/anaconda3/share/jupyter/lab [I 16:31:02.197 NotebookApp] Serving notebooks from local directory: /home/j3nnn1 [I 16:31:02.197 NotebookApp] Jupyter Notebook 6.1.4 is running at: [I 16:31:02.197 NotebookApp] http://localhost:8888/?token=79725443d82b8c3c30dbcf1cba7b48af356997f7f3fa4d29 [I 16:31:02.197 NotebookApp] or http://127.0.0.1:8888/?token=79725443d82b8c3c30dbcf1cba7b48af356997f7f3fa4d29 [I 16:31:02.197 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation). [C 16:31:02.268 NotebookApp]
To access the notebook, open this file in a browser:
file:///home/j3nnn1/.local/share/jupyter/runtime/nbserver-43947-open.html
Or copy and paste one of these URLs:
http://localhost:8888/?token=79725443d82b8c3c30dbcf1cba7b48af356997f7f3fa4d29
or http://127.0.0.1:8888/?token=79725443d82b8c3c30dbcf1cba7b48af356997f7f3fa4d29
[1]+ Done pycharm Segmentation fault (core dumped)
#levantar el ambiente para la diplo
estoy usando conda con el namespace PEP. creado de la siguiente forma: conda create -n pep python=3
$ conda activate pep
$ conda list
(pep) [j3nnn1@itup regresion-logistica-Keras]$ conda env list
base /home/j3nnn1/anaconda3 curso /home/j3nnn1/anaconda3/envs/curso pep * /home/j3nnn1/anaconda3/envs/pep /home/j3nnn1/pkg/anaconda/pkg/anaconda/opt/anaconda
conda create -n <name_environment> python=3
conda info --envs
conda activate pep_intro
conda install pandas
conda list # listar las librerias de este environment.
pip install jupyterlab matplotlib scikit-learn
whereis jupyter-lab
conda deactivate
#anaconda-navigator& # GUI