Related Issues (20)
- "TPU-speed data pipelines" (tpu_speed_data_pipelines.ipynb) flower speedup's writing code fails
- "Classifying Images with a Linear Model" lab requires graphviz Debian package install before any GUI steps HOT 5
- Classifying Images using Data Augmentation (classifying_images_using_data_augmentation.ipynb) AttributeError druing the training HOT 1
- Non existent `hacker_news.stories` public BQ dataset is referenced in multiple notebooks
- OFFSET SQL function yields `400 Array index 1 is out of bounds` while extracting info from `hacker_news` dataset HOT 1
- Zero patience stops training after first epoch resulting in empty training graphs in `keras_for_text_classification.ipynb`
- Deprecated reference at the end of the NLP crown jewel Encoder decoder lab (`rnn_encoder_decoder.ipynb`) HOT 1
- Unusable lab due to deprecated TF 1.x code in "Using Neural Networks for Content-Based Filtering" (`content_based_using_neural_networks.ipynb`) HOT 1
- "Collaborative Filtering on Google Analytics data" lab fails with `NotImplementedError: Cannot convert a symbolic Tensor (cond_1/strided_slice_4:0) to a numpy array.` HOT 4
- "Applying Contextual Bandits for Recommendations with Tensorflow and TF-Agents" lab (exercise_movielens_notebook.ipynb) miserably fails with a dependency carnage
- The "Training and Deploying a TensorFlow Model in Vertex AI" lab (lab_exercise_long.ipynb) requires apt and pip packages for graphiz HOT 1
- The "Training and Deploying a TensorFlow Model in Vertex AI" lab's (lab_exercise_long.ipynb) CustomContainerTrainingJob errors out with CPU quota violation HOT 2
- Cloud debug is deprecated - error in stackdriver-trace-monitoring frontend HOT 3
- vertex_pipelines_simple lab breaks at imports
- 404 error onn colab links HOT 1
- Some html files have an outdated reference of `ui-bootstrap-tpls-2.5.0.js`
- /quests/vertex-ai/vertex-challenge-lab/vertex-challenge-lab.ipynb cannot be opened in jupyter lab HOT 1
- Issues converting xlsx to csv HOT 1
- "Serverless Data Processing with Dataflow - Writing an ETL Pipeline using Apache Beam and Cloud Dataflow (Python)" job fails because of short schema
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