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| [TGx]Downloaded from torrentgalaxy.to .txt |
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115B |
| 01_a-conversation-with-andrew-ng.en.srt |
2.77KB |
| 01_a-conversation-with-andrew-ng.en.srt |
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| 01_a-conversation-with-andrew-ng.en.srt |
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| 01_a-conversation-with-andrew-ng.en.srt |
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| 01_a-conversation-with-andrew-ng.en.srt |
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| 01_a-conversation-with-andrew-ng.en.srt |
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| 01_a-conversation-with-andrew-ng.en.srt |
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| 01_a-conversation-with-andrew-ng.en.srt |
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| 01_a-conversation-with-andrew-ng.en.srt |
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| 01_a-conversation-with-andrew-ng.mp4 |
22.63MB |
| 01_a-conversation-with-andrew-ng.mp4 |
17.89MB |
| 01_a-conversation-with-andrew-ng.mp4 |
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| 01_a-conversation-with-andrew-ng.mp4 |
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13.24MB |
| 01_a-conversation-with-andrew-ng.mp4 |
11.24MB |
| 01_a-conversation-with-andrew-ng.mp4 |
8.80MB |
| 01_a-conversation-with-andrew-ng.mp4 |
8.40MB |
| 01_a-conversation-with-andrew-ng.mp4 |
8.23MB |
| 01_before-you-begin-tensorflow-2-0-and-this-course_instructions.html |
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| 01_exercise-2_instructions.html |
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| 01_exercise-3-improve-mnist-with-convolutions_instructions.html |
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| 01_exercise-4-handling-complex-images_instructions.html |
1.07KB |
| 01_introduction.en.srt |
1.97KB |
| 01_introduction.mp4 |
5.76MB |
| 01_introduction-a-conversation-with-andrew-ng.en.srt |
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| 01_introduction-a-conversation-with-andrew-ng.en.srt |
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| 01_introduction-a-conversation-with-andrew-ng.en.srt |
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| 01_introduction-a-conversation-with-andrew-ng.mp4 |
26.01MB |
| 01_introduction-a-conversation-with-andrew-ng.mp4 |
22.42MB |
| 01_introduction-a-conversation-with-andrew-ng.mp4 |
8.82MB |
| 01_introduction-to-google-colaboratory_faq.html |
22.38KB |
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1.08KB |
| 01_specialization-wrap-up-a-conversation-with-andrew-ng.en.srt |
4.50KB |
| 01_specialization-wrap-up-a-conversation-with-andrew-ng.mp4 |
15.36MB |
| 01_time-series-examples.en.srt |
7.26KB |
| 01_time-series-examples.mp4 |
10.08MB |
| 01_week-3-a-conversation-with-andrew-ng.en.srt |
5.08KB |
| 01_week-3-a-conversation-with-andrew-ng.mp4 |
22.72MB |
| 01_week-4-a-conversation-with-andrew-ng.en.srt |
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| 01_week-4-a-conversation-with-andrew-ng.mp4 |
8.55MB |
| 01_wrap-up_instructions.html |
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| 01_wrap-up_instructions.html |
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| 01_wrap-up_instructions.html |
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| 02_a-conversation-with-andrew.en.srt |
3.74KB |
| 02_a-conversation-with-andrew.mp4 |
11.61MB |
| 02_a-conversation-with-andrew-ng.en.srt |
2.49KB |
| 02_a-conversation-with-andrew-ng.en.srt |
2.32KB |
| 02_a-conversation-with-andrew-ng.mp4 |
7.61MB |
| 02_a-conversation-with-andrew-ng.mp4 |
7.07MB |
| 02_an-introduction-to-computer-vision.en.srt |
3.69KB |
| 02_an-introduction-to-computer-vision.mp4 |
4.87MB |
| 02_before-you-begin-tensorflow-2-0-and-this-course_instructions.html |
1.72KB |
| 02_conceptual-overview.en.srt |
5.14KB |
| 02_conceptual-overview.mp4 |
6.40MB |
| 02_congratulations.en.srt |
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| 02_congratulations.mp4 |
2.80MB |
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| 02_convolutions.mp4 |
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| 02_image-augmentation_instructions.html |
2.35KB |
| 02_introduction.en.srt |
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| 02_introduction.en.srt |
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| 02_introduction.en.srt |
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| 02_introduction.mp4 |
10.18MB |
| 02_introduction.mp4 |
8.36MB |
| 02_introduction.mp4 |
5.17MB |
| 02_introduction-a-conversation-with-andrew-ng.en.srt |
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| 02_introduction-a-conversation-with-andrew-ng.mp4 |
21.08MB |
| 02_machine-learning-applied-to-time-series.en.srt |
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| 02_machine-learning-applied-to-time-series.mp4 |
3.24MB |
| 02_moving-from-binary-to-multi-class-classification.en.srt |
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| 02_moving-from-binary-to-multi-class-classification.mp4 |
1.65MB |
| 02_preparing-features-and-labels.en.srt |
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| 02_preparing-features-and-labels.mp4 |
8.24MB |
| 02_the-cats-vs-dogs-dataset_instructions.html |
1.86KB |
| 02_understanding-transfer-learning-the-concepts.en.srt |
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| 02_understanding-transfer-learning-the-concepts.mp4 |
5.79MB |
| 02_week-2-resources_Course_1_-_Part_4_-_Lesson_2_-_Notebook.ipynb |
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| 02_week-2-resources_Exercise2-Answer.ipynb |
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| 02_week-2-resources_instructions.html |
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| 02_week-3-resources_Course_1_-_Part_6_-_Lesson_2_-_Notebook.ipynb |
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| 02_week-3-resources_Course_1_-_Part_6_-_Lesson_3_-_Notebook.ipynb |
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| 02_week-3-resources_instructions.html |
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| 02_week-4-resources_Course_1_-_Part_8_-_Lesson_3_-_Notebook.ipynb |
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94.19KB |
| 02_week-4-resources_instructions.html |
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| 02_what-are-convolutions-and-pooling.en.srt |
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| 02_what-are-convolutions-and-pooling.mp4 |
6.75MB |
| 02_what-next_instructions.html |
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| 02_word-based-encodings.en.srt |
3.72KB |
| 02_word-based-encodings.mp4 |
3.75MB |
| 03_a-primer-in-machine-learning.en.srt |
6.46KB |
| 03_a-primer-in-machine-learning.mp4 |
8.43MB |
| 03_coding-convolutions-and-pooling-layers_instructions.html |
1.29KB |
| 03_common-patterns-in-time-series.en.srt |
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| 03_common-patterns-in-time-series.mp4 |
7.92MB |
| 03_convolutional-neural-networks-course_instructions.html |
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| 03_exploring-how-to-use-data_instructions.html |
1.35KB |
| 03_introducing-augmentation.en.srt |
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| 03_introducing-augmentation.mp4 |
7.98MB |
| 03_introducing-the-rock-paper-scissors-dataset_instructions.html |
2.45KB |
| 03_introducing-the-rock-paper-scissors-dataset_rps.zip |
191.39MB |
| 03_introducing-the-rock-paper-scissors-dataset_rps-test-set.zip |
28.15MB |
| 03_introducing-the-rock-paper-scissors-dataset_rps-validation.zip |
6.32MB |
| 03_link-to-andrews-sequence-modeling-course_instructions.html |
1.08KB |
| 03_looking-into-the-code.en.srt |
1.51KB |
| 03_looking-into-the-code.mp4 |
1.14MB |
| 03_preparing-features-and-labels.en.srt |
6.17KB |
| 03_preparing-features-and-labels.mp4 |
9.37MB |
| 03_shape-of-the-inputs-to-the-rnn.en.srt |
3.49KB |
| 03_shape-of-the-inputs-to-the-rnn.mp4 |
3.25MB |
| 03_start-coding_Course_2_-_Part_6_-_Lesson_3_-_Notebook.ipynb |
66.78KB |
| 03_start-coding_instructions.html |
1.82KB |
| 03_the-imbd-dataset.en.srt |
1.71KB |
| 03_the-imbd-dataset.mp4 |
2.98MB |
| 03_training-with-the-cats-vs-dogs-dataset.en.srt |
4.96KB |
| 03_training-with-the-cats-vs-dogs-dataset.mp4 |
5.01MB |
| 03_understanding-imagegenerator.en.srt |
7.75KB |
| 03_understanding-imagegenerator.mp4 |
8.56MB |
| 03_using-apis.en.srt |
4.38KB |
| 03_using-apis.mp4 |
3.83MB |
| 03_week-1-resources_Course_1_-_Part_2_-_Lesson_2_-_Notebook.ipynb |
96.76KB |
| 03_week-1-resources_instructions.html |
2.43KB |
| 04_bi-directional-lstms.en.srt |
6.01KB |
| 04_bi-directional-lstms.mp4 |
6.22MB |
| 04_check-out-the-code_Course_3_-_Week_1_-_Lesson_1.ipynb |
66.82KB |
| 04_check-out-the-code_instructions.html |
1.18KB |
| 04_coding-transfer-learning-from-the-inception-mode.en.srt |
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| 04_coding-transfer-learning-from-the-inception-mode.mp4 |
1.71MB |
| 04_designing-the-neural-network_instructions.html |
1.18KB |
| 04_explore-multi-class-with-rock-paper-scissors-dataset.en.srt |
4.39KB |
| 04_explore-multi-class-with-rock-paper-scissors-dataset.mp4 |
3.49MB |
| 04_imdb-reviews-dataset_instructions.html |
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| 04_implementing-convolutional-layers.en.srt |
2.56KB |
| 04_implementing-convolutional-layers.mp4 |
3.04MB |
| 04_introduction-to-time-series.en.srt |
6.91KB |
| 04_introduction-to-time-series.mp4 |
11.57MB |
| 04_looking-at-the-notebook_Course_2_-_Part_2_-_Lesson_2_-_Notebook.ipynb |
66.78KB |
| 04_looking-at-the-notebook_instructions.html |
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| 04_lstms.en.srt |
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| 04_lstms.mp4 |
2.26MB |
| 04_outputting-a-sequence.en.srt |
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| 04_outputting-a-sequence.mp4 |
1.91MB |
| 04_preparing-features-and-labels-notebook_instructions.html |
1.18KB |
| 04_preparing-features-and-labels-notebook_SP_Week_2_Lesson_1.ipynb |
66.81KB |
| 04_start-coding_instructions.html |
1.22KB |
| 04_the-hello-world-of-neural-networks.en.srt |
10.24KB |
| 04_the-hello-world-of-neural-networks.mp4 |
11.60MB |
| 04_training-the-data.en.srt |
4.23KB |
| 04_training-the-data.mp4 |
3.03MB |
| 04_writing-code-to-load-training-data.en.srt |
3.93KB |
| 04_writing-code-to-load-training-data.mp4 |
7.39MB |
| 05_adding-your-dnn_instructions.html |
1.30KB |
| 05 check-out-the-code Course 2 - Part 8 - Lesson 2 - Notebook RockPaperScissors ipynb |
66.81KB |
| 05_check-out-the-code_instructions.html |
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| 05_coding-augmentation-with-imagedatagenerator.en.srt |
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| 05_coding-augmentation-with-imagedatagenerator.mp4 |
5.42MB |
| 05_defining-a-convnet-to-use-complex-images.en.srt |
4.71KB |
| 05_defining-a-convnet-to-use-complex-images.mp4 |
5.12MB |
| 05_from-rules-to-data_instructions.html |
1.76KB |
| 05_introduction-to-time-series-notebook_instructions.html |
1.17KB |
| 05_introduction-to-time-series-notebook_SP_Week_1_Lesson_2.ipynb |
66.79KB |
| 05_lambda-layers.en.srt |
2.87KB |
| 05_lambda-layers.mp4 |
2.71MB |
| 05_learn-more-about-convolutions_instructions.html |
1.30KB |
| 05_looking-into-the-details.en.srt |
6.40KB |
| 05_looking-into-the-details.mp4 |
4.99MB |
| 05_more-info-on-lstms_instructions.html |
1.14KB |
| 05_more-on-batch-sizing_instructions.html |
1.03KB |
| 05_more-on-training-the-data.en.srt |
2.89KB |
| 05_more-on-training-the-data.mp4 |
3.24MB |
| 05_notebook-for-lesson-1.en.srt |
4.80KB |
| 05_notebook-for-lesson-1.mp4 |
3.36MB |
| 05_sequence-bias_instructions.html |
1.45KB |
| 05_the-structure-of-fashion-mnist-data_instructions.html |
1.45KB |
| 05_working-through-the-notebook.en.srt |
8.81KB |
| 05_working-through-the-notebook.mp4 |
15.19MB |
| 06_adjusting-the-learning-rate-dynamically.en.srt |
4.34KB |
| 06_adjusting-the-learning-rate-dynamically.mp4 |
5.69MB |
| 06_check-out-the-code_Course_3_-_Week_4_-_Lesson_1_-_Notebook.ipynb |
66.84KB |
| 06_check-out-the-code_instructions.html |
1.19KB |
| 06_coding-a-computer-vision-neural-network.en.srt |
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| 06_coding-a-computer-vision-neural-network.mp4 |
4.85MB |
| 06_coding-your-own-model-with-transferred-features.en.srt |
3.33KB |
| 06_coding-your-own-model-with-transferred-features.mp4 |
3.25MB |
| 06_feeding-windowed-dataset-into-neural-network.en.srt |
3.31KB |
| 06_feeding-windowed-dataset-into-neural-network.mp4 |
3.90MB |
| 06_how-can-we-use-vectors.en.srt |
4.18KB |
| 06_how-can-we-use-vectors.mp4 |
10.03MB |
| 06_implementing-lstms-in-code.en.srt |
2.11KB |
| 06_implementing-lstms-in-code.mp4 |
1.80MB |
| 06_implementing-pooling-layers.en.srt |
7.10KB |
| 06_implementing-pooling-layers.mp4 |
8.28MB |
| 06 looking-at-the-notebook Course 2 - Part 4 - Lesson 2 - Notebook Cats v Dogs Augmentation ipynb |
66.83KB |
| 06_looking-at-the-notebook_instructions.html |
1.62KB |
| 06_lstm.en.srt |
2.47KB |
| 06_lstm.mp4 |
6.52MB |
| 06_text-to-sequence.en.srt |
4.92KB |
| 06_text-to-sequence.mp4 |
6.69MB |
| 06_train-a-classifier-with-rock-paper-scissors.en.srt |
3.62KB |
| 06_train-a-classifier-with-rock-paper-scissors.mp4 |
4.92MB |
| 06_train-the-convnet-with-imagegenerator_instructions.html |
1.24KB |
| 06_train-validation-and-test-sets.en.srt |
5.18KB |
| 06_train-validation-and-test-sets.mp4 |
5.14MB |
| 06_what-you-ll-see-next_Course_2_-_Part_2_-_Lesson_2_-_Notebook.ipynb |
66.78KB |
| 06_what-you-ll-see-next_instructions.html |
1.52KB |
| 06_working-through-hello-world-in-tensorflow-and-python.en.srt |
5.83KB |
| 06_working-through-hello-world-in-tensorflow-and-python.mp4 |
8.01MB |
| 07_check-out-the-code_Course_3_-_Week_3_-_Lesson_1a.ipynb |
66.83KB |
| 07_check-out-the-code_Course_3_-_Week_3_-_Lesson_1b.ipynb |
66.83KB |
| 07_check-out-the-code_instructions.html |
1.66KB |
| 07_demonstrating-overfitting-in-cats-vs-dogs.en.srt |
2.39KB |
| 07_demonstrating-overfitting-in-cats-vs-dogs.mp4 |
3.55MB |
| 07_fixing-through-cropping.en.srt |
1.60KB |
| 07_fixing-through-cropping.mp4 |
2.57MB |
| 07_getting-hands-on-your-first-convnet_instructions.html |
1.22KB |
| 07_looking-more-at-the-tokenizer.en.srt |
3.09KB |
| 07_looking-more-at-the-tokenizer.mp4 |
5.82MB |
| 07_lstm-notebook_instructions.html |
1.15KB |
| 07_lstm-notebook_SP_Week_4_Lesson_1.ipynb |
66.81KB |
| 07_metrics-for-evaluating-performance.en.srt |
3.33KB |
| 07_metrics-for-evaluating-performance.mp4 |
2.78MB |
| 07_more-info-on-huber-loss_instructions.html |
1.04KB |
| 07_more-into-the-details.en.srt |
4.93KB |
| 07_more-into-the-details.mp4 |
4.54MB |
| 07_notebook-for-lesson-1.en.srt |
13.73KB |
| 07_notebook-for-lesson-1.mp4 |
17.61MB |
| 07_see-how-its-done_instructions.html |
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| 07_single-layer-neural-network.en.srt |
5.24KB |
| 07_single-layer-neural-network.mp4 |
4.20MB |
| 07_training-the-convnet-with-fit-generator.en.srt |
4.59KB |
| 07_training-the-convnet-with-fit-generator.mp4 |
4.45MB |
| 07_try-it-for-yourself_Course_1_-_Part_2_-_Lesson_2_-_Notebook.ipynb |
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| 07_try-it-for-yourself_instructions.html |
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| 07_try-testing-the-classifier_instructions.html |
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| 07_try-testing-the-classifier_rps-validation.zip |
6.32MB |
| 07_using-dropouts_instructions.html |
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| 08_accuracy-and-loss.en.srt |
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| 08_accuracy-and-loss.mp4 |
3.58MB |
| 08_check-out-the-code_Course_3_-_Week_2_-_Lesson_1.ipynb |
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| 08_check-out-the-code_instructions.html |
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| 08_exploring-dropouts.en.srt |
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| 08_exploring-dropouts.mp4 |
3.48MB |
| 08_exploring-the-solution_instructions.html |
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| 08_finding-what-the-next-word-should-be.en.srt |
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| 08_finding-what-the-next-word-should-be.mp4 |
4.58MB |
| 08_improving-the-fashion-classifier-with-convolutions.en.srt |
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| 08_improving-the-fashion-classifier-with-convolutions.mp4 |
13.02MB |
| 08_machine-learning-on-time-windows.en.srt |
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| 08_machine-learning-on-time-windows.mp4 |
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| 08_moving-average-and-differencing.en.srt |
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| 08_moving-average-and-differencing.mp4 |
3.66MB |
| 08_padding.en.srt |
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| 08_padding.mp4 |
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| 08_real-data-sunspots.en.srt |
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| 08_real-data-sunspots.mp4 |
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| 08_rnn.en.srt |
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| 08_rnn.mp4 |
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| 08_test-the-rock-paper-scissors-classifier.en.srt |
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| 08_test-the-rock-paper-scissors-classifier.mp4 |
5.08MB |
| 08_the-impact-of-augmentation-on-cats-vs-dogs_instructions.html |
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| 08_visualizing-the-effect-of-the-convolutions.en.srt |
2.49KB |
| 08_visualizing-the-effect-of-the-convolutions.mp4 |
6.38MB |
| 08_walk-through-a-notebook-for-computer-vision.en.srt |
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| 08_walk-through-a-notebook-for-computer-vision.mp4 |
9.02MB |
| 08_week-1-quiz_exam.html |
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| 09_adding-augmentation-to-cats-vs-dogs.en.srt |
2.40KB |
| 09_adding-augmentation-to-cats-vs-dogs.mp4 |
4.18MB |
| 09 applying-transfer-learning-to-cats-v-dogs Course 2 - Part 6 - Lesson 3 - Notebook ipynb |
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| 09_applying-transfer-learning-to-cats-v-dogs_instructions.html |
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| 09_a-word-from-laurence.en.srt |
922B |
| 09_a-word-from-laurence.mp4 |
3.11MB |
| 09_check-out-the-code_Course_3_-_Week_1_-_Lesson_2.ipynb |
66.82KB |
| 09_check-out-the-code_instructions.html |
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| 09_example.en.srt |
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| 09_example.mp4 |
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| 09 get-hands-on-with-computer-vision Course 1 - Part 4 - Lesson 2 - Notebook ipynb |
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| 09_get-hands-on-with-computer-vision_instructions.html |
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| 09_looking-at-accuracy-and-loss.en.srt |
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| 09_looking-at-accuracy-and-loss.mp4 |
4.92MB |
| 09_notebook-for-lesson-1.en.srt |
17.74KB |
| 09_notebook-for-lesson-1.mp4 |
32.07MB |
| 09_prediction.en.srt |
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| 09_prediction.mp4 |
4.43MB |
| 09_rnn-notebook_instructions.html |
1.17KB |
| 09_rnn-notebook_SP_Week_3_Lesson_2_-_RNN.ipynb |
66.82KB |
| 09_trailing-versus-centered-windows.en.srt |
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| 09_train-and-tune-the-model.en.srt |
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| 09_train-and-tune-the-model.mp4 |
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| 09_try-it-for-yourself_Course_1_-_Part_6_-_Lesson_2_-_Notebook.ipynb |
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| 09_walking-through-developing-a-convnet.en.srt |
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| 10_forecasting.en.srt |
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| 10_looking-into-the-code.en.srt |
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| 10_lstm.en.srt |
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| 10_more-on-single-layer-neural-network.en.srt |
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| 10_notebook-for-lesson-2.en.srt |
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| 10_predicting-a-word.en.srt |
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| 10_prediction.en.srt |
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| 10_prediction.mp4 |
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| 10_remember-the-sarcasm-dataset.en.srt |
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| 10_remember-the-sarcasm-dataset.mp4 |
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| 10_training-the-neural-network_instructions.html |
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| 10_training-the-neural-network_lecture_slides_lec6.pdf |
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| 10_using-callbacks-to-control-training.en.srt |
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| 10_using-callbacks-to-control-training.mp4 |
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| 10_walking-through-convolutions.en.srt |
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| 11_building-a-classifier-for-the-sarcasm-dataset.mp4 |
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| 11 experiment-with-filters-and-pools Course 1 - Part 6 - Lesson 3 - Notebook ipynb |
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| 11_experiment-with-filters-and-pools_filtering.html |
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| 11_exploring-augmentation-with-horses-vs-humans.en.srt |
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| 11_exploring-augmentation-with-horses-vs-humans.mp4 |
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| 11_forecasting-notebook_SP_Week_1_-_Lesson_3_-_Notebook.ipynb |
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| 11_poetry.en.srt |
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| 11_sarcasm-really.en.srt |
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| 11 see-how-to-implement-callbacks Course 1 - Part 4 - Lesson 4 - Notebook ipynb |
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| 11_single-layer-neural-network-notebook_instructions.html |
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| 11_single-layer-neural-network-notebook_SP_Week_2_Lesson_2.ipynb |
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| 11_sunspots.en.srt |
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| 11_sunspots.mp4 |
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| 11_using-a-convolutional-network.en.srt |
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| 11_using-a-convolutional-network.mp4 |
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| 11_walking-through-training-the-convnet-with-fit-generator.en.srt |
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| 11_walking-through-training-the-convnet-with-fit-generator.mp4 |
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| 11_week-1-wrap-up.en.srt |
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| 12_check-out-the-code_Course_3_-_Week_3_-_Lesson_1c.ipynb |
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| 12_coding-lstms.en.srt |
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| 12_coding-lstms.mp4 |
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| 12_deep-neural-network-training-tuning-and-prediction.en.srt |
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| 12_deep-neural-network-training-tuning-and-prediction.mp4 |
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| 12 experiment-with-the-horse-or-human-classifier Course 1 - Part 8 - Lesson 2 - Notebook ipynb |
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| 12_experiment-with-the-horse-or-human-classifier_instructions.html |
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| 12_lets-talk-about-the-loss-function.en.srt |
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| 12_lets-talk-about-the-loss-function.mp4 |
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| 12_link-to-laurences-poetry_instructions.html |
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| 12_link-to-laurences-poetry_irish-lyrics-eof.txt |
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| 12_sunspots-notebook_SP_Week_4_Lesson_5.ipynb |
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| 12_walk-through-a-notebook-with-callbacks.en.srt |
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| 12_walk-through-a-notebook-with-callbacks.mp4 |
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| 12_week-1-wrap-up_instructions.html |
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| 12_week-3-quiz_exam.html |
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| 12_what-have-we-seen-so-far_instructions.html |
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| 13_going-back-to-the-imdb-dataset.mp4 |
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| 13_looking-into-the-code.en.srt |
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| 13_more-on-lstm.en.srt |
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| 14 get-hands-on-and-use-validation Course 1 - Part 8 - Lesson 3 - Notebook ipynb |
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| 14_get-hands-on-and-use-validation_instructions.html |
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| 14_laurence-the-poet.en.srt |
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| 14_laurence-the-poet.mp4 |
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| 14_lstm-notebook_instructions.html |
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| 14_lstm-notebook_SP_Week_3_Lesson_4_-_LSTM.ipynb |
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| 15_exploring-the-impact-of-compressing-images.en.srt |
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| 15_exploring-the-impact-of-compressing-images.mp4 |
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| 15_notebook-for-lesson-3.en.srt |
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| 15_notebook-for-lesson-3.mp4 |
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| 15_tensorflow-datasets_instructions.html |
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| 15_tips-from-laurence.mp4 |
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| 16_diving-into-the-code-part-1.en.srt |
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| 16_diving-into-the-code-part-1.mp4 |
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| 16_exploring-different-sequence-models_Course_3_-_Week_3_-_Lesson_2.ipynb |
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| 16 get-hands-on-with-compacted-images Course 1 - Part 8 - Lesson 4 - Notebook ipynb |
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| 16_week-1-wrap-up.mp4 |
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