Tool and Package Versions - Latest
Creating a defined environment and veryfying that all the notebooks work
conda create -n jh_class python=3.10
Then activate this environment before installing packages!
conda activate jh_class
Install specific packages:
conda install -c conda-forge tensorflow=2.15.0 -y
conda install -c conda-forge pandas=2.2.0 -y
conda install -c conda-forge scikit-learn=1.4.1 -y
conda install -c conda-forge matplotlib=3.8.3 -y
conda install -c conda-forge ipython=8.21.0 -y
conda install -c conda-forge transformers=4.37.2 -y
conda install -c conda-forge jupyter=1.0.0 -y
conda install -c conda-forge sentencepiece=0.1.99 -y
This command lists the package versions that are installed in the currently active environment:
conda list
Result:
Computer without GPU
Computer with GPU
Class
To continue the class:
Open terminal
cd ~/github/learn/ai/jheaton/t81_558_deep_learning
conda activate jh_class
jupyter notebook
t81_558_class_01_1_overview.ipynb..........................| 2024-02-12
t81_558_class_01_2_intro_python.ipynb......................| 2024-02-12
t81_558_class_01_3_python_collections.ipynb................| 2024-02-13
t81_558_class_01_4_python_files.ipynb......................| 2024-02-20
t81_558_class_01_5_python_functional.ipynb.................| 2024-02-21
t81_558_class_02_1_python_pandas.ipynb.....................| 2024-02-22
t81_558_class_02_2_pandas_cat.ipynb........................| 2024-02-24
t81_558_class_02_3_pandas_grouping.ipynb...................| 2024-02-25
t81_558_class_02_4_pandas_functional.ipynb.................| 2024-02-25
t81_558_class_02_5_pandas_features.ipynb...................| 2024-02-26
t81_558_class_03_1_neural_net.ipynb........................| 2024-02-26
t81_558_class_03_2_keras.ipynb.............................| 2024-03-06
t81_558_class_03_3_save_load.ipynb.........................| 2024-03-06
t81_558_class_03_4_early_stop.ipynb........................| 2024-03-06
t81_558_class_03_5_weights.ipynb...........................| 2024-03-07
t81_558_class_04_1_feature_encode.ipynb....................| 2024-03-08
t81_558_class_04_2_multi_class.ipynb.......................| 2024-03-12
t81_558_class_04_3_regression.ipynb........................| 2024-03-13
t81_558_class_04_4_backprop.ipynb..........................| 2024-07-12
t81_558_class_04_5_rmse_logloss.ipynb......................| 2024-07-12
t81_558_class_05_1_reg_ridge_lasso.ipynb...................| 2024-09-19
t81_558_class_05_2_kfold.ipynb.............................| 2024-10-27
t81_558_class_05_3_keras_l1_l2.ipynb.......................| 2024-11-18
t81_558_class_05_4_dropout.ipynb...........................| 2024-11-19
t81_558_class_05_5_bootstrap.ipynb.........................|
t81_558_class_06_1_python_images.ipynb.....................|
t81_558_class_06_2_cnn.ipynb...............................|
t81_558_class_06_3_resnet.ipynb............................|
t81_558_class_06_4_keras_images.ipynb......................|
t81_558_class_06_5_yolo.ipynb..............................|
t81_558_class_07_2_train_gan.ipynb.........................|
t81_558_class_07_3_latent_vector.ipynb.....................|
t81_558_class_07_4_deoldify.ipynb..........................|
t81_558_class_07_5_tabular_synthetic.ipynb.................|
t81_558_class_08_1_kaggle_intro.ipynb......................|
t81_558_class_08_2_keras_ensembles.ipynb...................|
t81_558_class_08_3_keras_hyperparameters.ipynb.............|
t81_558_class_08_4_bayesian_hyperparameter_opt.ipynb.......|
t81_558_class_08_5_kaggle_project.ipynb....................|
t81_558_class_09_1_keras_transfer.ipynb....................|
t81_558_class_09_2_keras_xfer_cv.ipynb.....................|
t81_558_class_09_3_transfer_nlp.ipynb......................|
t81_558_class_09_4_facial_points.ipynb.....................|
t81_558_class_09_5_style_transfer.ipynb....................|
t81_558_class_10_1_timeseries.ipynb........................|
t81_558_class_10_2_lstm.ipynb..............................|
t81_558_class_10_3_text_generation.ipynb...................|
t81_558_class_10_4_intro_transformers.ipynb................|
t81_558_class_10_5_keras_transformers.ipynb................|
t81_558_class_11_01_huggingface.ipynb......................|
t81_558_class_11_02_tokenizers.ipynb.......................|
t81_558_class_11_03_hf_datasets.ipynb......................|
t81_558_class_11_04_hf_train.ipynb.........................|
t81_558_class_11_05_embedding.ipynb........................|
t81_558_class_12_01_ai_gym.ipynb...........................|
t81_558_class_12_02_qlearningreinforcement.ipynb...........|
t81_558_class_12_03_keras_reinforce.ipynb..................|
t81_558_class_12_04_atari.ipynb............................|
t81_558_class_12_05_apply_rl.ipynb.........................|
t81_558_class_13_01_flask.ipynb............................|
t81_558_class_13_02_checkpoint.ipynb.......................|
t81_558_class_13_03_web.ipynb..............................|
t81_558_class_13_04_retrain.ipynb..........................|
t81_558_class_13_05_tpu.ipynb..............................|
t81_558_class_14_01_automl.ipynb...........................|
t81_558_class_14_02_auto_encode.ipynb......................|
t81_558_class_14_03_anomaly.ipynb..........................|
t81_558_class_14_04_ids_kdd99.ipynb........................|
t81_558_class_14_05_new_tech.ipynb.........................|
Other
The syntax for version numbers in pip is
pip install tensorflow==2.15.0
but we don't want to install anything outside of conda,
so that we know that we are using the intended versions of our packages.
