12-03-2024, 08:23 PM
347.28 MB | 00:02:22 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English
Files Included :
01 a-conversation-with-andrew-ng (15.03 MB)
01 introduction (4.18 MB)
03 popular-datasets (3.83 MB)
04 data-pipelines (1.1 MB)
05 extract-transform-and-load (4.7 MB)
06 versioning-datasets (4.67 MB)
07 looking-at-the-notebook (4.4 MB)
01 using-tfds-in-keras-to-train-fashion-mnist (5.15 MB)
02 horses-or-humans-in-tfds (7.69 MB)
01 week-1-wrap-up (3.28 MB)
01 introduction (9.5 MB)
01 introduction-to-splits-api (9.19 MB)
02 splits-api-notebook-walkthrough (8.51 MB)
01 file-structure-in-tensorflow-datasets (4.74 MB)
02 feature-descriptors (9.23 MB)
03 tfrecord-colab-walkthrough (11.39 MB)
01 week-2-wrap-up (6.27 MB)
01 a-conversation-with-andrew-ng (9.56 MB)
02 introduction (2.48 MB)
03 input-data (1.7 MB)
04 basic-mechanics (3.75 MB)
05 numeric-and-bucketized-columns (2.95 MB)
06 vocabulary-and-hashed-columns-feature-crossing (3.24 MB)
07 embedding-columns (3.69 MB)
01 introduction (2.83 MB)
02 notebook-walkthrough (13.89 MB)
01 introduction (1.09 MB)
02 numpy-pandas-and-images (4.09 MB)
03 csv (5.51 MB)
04 text-and-tfrecord (1.9 MB)
06 generators (3.24 MB)
01 introduction (2.17 MB)
02 notebook-walkthrough (17 MB)
01 introduction (4.68 MB)
02 using-numpy-and-pandas (3.44 MB)
03 image-data (2 MB)
05 csv-data (6.17 MB)
06 text-data (3.91 MB)
01 a-conversation-with-andrew-ng (20.02 MB)
02 introduction (4.38 MB)
03 etl (2.64 MB)
04 what-happens-when-you-train-a-model (5.65 MB)
01 introduction (2.87 MB)
02 caching (1.21 MB)
03 parallelism-apis (3.21 MB)
04 autotuning (3.06 MB)
05 parallelizing-data-extraction (5.23 MB)
01 best-practices-for-code-improvements (5.73 MB)
02 a-few-words-by-laurence (4.12 MB)
01 a-conversation-with-andrew-ng (9.76 MB)
02 introduction (5.66 MB)
03 how-to-start-using-a-dataset (3.3 MB)
04 implementation (5.4 MB)
05 file-access-and-possible-problems-in-data (5.14 MB)
06 publishing-the-dataset (7.39 MB)
01 introduction (2.21 MB)
03 going-through-the-colab-part-1 (9.05 MB)
04 going-through-the-colab-part-2 (12.78 MB)
05 closing-words (1.74 MB)
01 a-conversation-with-andrew-ng (12.72 MB)]
Screenshot
01 a-conversation-with-andrew-ng (15.03 MB)
01 introduction (4.18 MB)
03 popular-datasets (3.83 MB)
04 data-pipelines (1.1 MB)
05 extract-transform-and-load (4.7 MB)
06 versioning-datasets (4.67 MB)
07 looking-at-the-notebook (4.4 MB)
01 using-tfds-in-keras-to-train-fashion-mnist (5.15 MB)
02 horses-or-humans-in-tfds (7.69 MB)
01 week-1-wrap-up (3.28 MB)
01 introduction (9.5 MB)
01 introduction-to-splits-api (9.19 MB)
02 splits-api-notebook-walkthrough (8.51 MB)
01 file-structure-in-tensorflow-datasets (4.74 MB)
02 feature-descriptors (9.23 MB)
03 tfrecord-colab-walkthrough (11.39 MB)
01 week-2-wrap-up (6.27 MB)
01 a-conversation-with-andrew-ng (9.56 MB)
02 introduction (2.48 MB)
03 input-data (1.7 MB)
04 basic-mechanics (3.75 MB)
05 numeric-and-bucketized-columns (2.95 MB)
06 vocabulary-and-hashed-columns-feature-crossing (3.24 MB)
07 embedding-columns (3.69 MB)
01 introduction (2.83 MB)
02 notebook-walkthrough (13.89 MB)
01 introduction (1.09 MB)
02 numpy-pandas-and-images (4.09 MB)
03 csv (5.51 MB)
04 text-and-tfrecord (1.9 MB)
06 generators (3.24 MB)
01 introduction (2.17 MB)
02 notebook-walkthrough (17 MB)
01 introduction (4.68 MB)
02 using-numpy-and-pandas (3.44 MB)
03 image-data (2 MB)
05 csv-data (6.17 MB)
06 text-data (3.91 MB)
01 a-conversation-with-andrew-ng (20.02 MB)
02 introduction (4.38 MB)
03 etl (2.64 MB)
04 what-happens-when-you-train-a-model (5.65 MB)
01 introduction (2.87 MB)
02 caching (1.21 MB)
03 parallelism-apis (3.21 MB)
04 autotuning (3.06 MB)
05 parallelizing-data-extraction (5.23 MB)
01 best-practices-for-code-improvements (5.73 MB)
02 a-few-words-by-laurence (4.12 MB)
01 a-conversation-with-andrew-ng (9.76 MB)
02 introduction (5.66 MB)
03 how-to-start-using-a-dataset (3.3 MB)
04 implementation (5.4 MB)
05 file-access-and-possible-problems-in-data (5.14 MB)
06 publishing-the-dataset (7.39 MB)
01 introduction (2.21 MB)
03 going-through-the-colab-part-1 (9.05 MB)
04 going-through-the-colab-part-2 (12.78 MB)
05 closing-words (1.74 MB)
01 a-conversation-with-andrew-ng (12.72 MB)]
Screenshot
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