Comments (1)
Hey @jerrynababa,
I get this too sometimes when loading straight from GitHub, because of the size of the files, sometimes GitHub fails to render them.
You can find them all in the course book though - https://dev.mrdbourke.com/tensorflow-deep-learning/
Each section in the course book is a notebook from the course.
They should load better there.
from tensorflow-deep-learning.
Related Issues (20)
- Error saving the model in Section 8 HOT 6
- initial_epoch value for fine-tuning
- Notebook 05: `TypeError: Unable to serialize [2.0897 2.1129 2.1082] to JSON. Unrecognized type <class 'tensorflow.python.framework.ops.EagerTensor'>` (fix inside) HOT 3
- Notebook 01: pd.get_dummies() resulting in True/False values instead of 1/0 - Causing issues with creating model HOT 15
- Misleading statement about matrix multiplication and dot product HOT 2
- Combining our models (model ensembling/stacking)
- Notebook 10: MASE result for naive not correct
- Notebook 10: Section 309 MASE
- Notebook 10: Section 350 function for making future preds
- TensorBoard.dev is shutting down - find an alternative? HOT 2
- Notebook 02 - `y_test` passed to `model.predict()`, should be `X_test` HOT 1
- Got error on reverting model_2 HOT 1
- MemoryError: Unable to allocate 29.3 GiB for an array with shape (2211861,) and data type <U3551
- Coindesk Bitcoin Data HOT 1
- TensorBoard.dev is shutting down HOT 2
- Invalid Argument Error
- 07 - Food Vision Big - Scikit-learn accuracy poor results
- TextVectorizer and .h5 format
- ZTM Video 111, timestamp 17:00 -> InvalidArgumentError: HOT 1
- Colab does not start New Workbook HOT 2
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from tensorflow-deep-learning.