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Genre:eLearning | Language: English | Size:1.18 GB

Files Included :

02 introduction.mp4 (2.54 MB)
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04 serving.mp4 (4.24 MB)
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05 installing-tf-serving.mp4 (1.33 MB)
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08 tensorflow-serving-summary.mp4 (3.22 MB)
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01 setup-for-serving.mp4 (4.92 MB)
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02 serving.mp4 (2.66 MB)
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01 predictions.mp4 (2.39 MB)
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02 passing-data-to-serving.mp4 (2.19 MB)
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03 getting-the-predictions-back.mp4 (3.31 MB)
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05 running-the-colab.mp4 (11.4 MB)
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02 complex-model.mp4 (8.01 MB)
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01 introduction-a-conversation-with-andrew-ng.mp4 (15.78 MB)
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02 introduction-to-tf-hub.mp4 (4.24 MB)
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04 transfer-learning.mp4 (2.15 MB)
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06 inference.mp4 (1.95 MB)
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07 module-storage.mp4 (4.05 MB)
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01 text-based-models.mp4 (3.38 MB)
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02 word-embeddings.mp4 (1.92 MB)
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04 experimenting-with-embeddings.mp4 (2.99 MB)
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06 colab.mp4 (5.88 MB)
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01 classify-cats-and-dogs.mp4 (4.41 MB)
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03 transfer-learning.mp4 (2.37 MB)
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01 introduction-a-conversation-with-andrew-ng.mp4 (16.51 MB)
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02 tensorboard-scalars.mp4 (5.28 MB)
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04 callbacks.mp4 (979.8 KB)
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05 histograms.mp4 (1.37 MB)
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06 publishing-model-details.mp4 (3.27 MB)
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01 local-tensorboard.mp4 (6.48 MB)
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01 looking-at-graphics-in-a-dataset.mp4 (6.61 MB)
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02 more-than-one-image.mp4 (1.29 MB)
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03 confusion-matrix.mp4 (4.8 MB)
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04 multiple-callbacks.mp4 (3.57 MB)
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01 introduction-a-conversation-with-andrew-ng.mp4 (17.43 MB)
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02 training-on-mobile-devices.mp4 (14.62 MB)
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03 data-at-the-edge.mp4 (7.27 MB)
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04 how-it-works.mp4 (4.61 MB)
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01 maintaining-user-privacy.mp4 (12.94 MB)
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02 masking.mp4 (4.58 MB)
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01 apis-for-federated-learning.mp4 (5.44 MB)
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02 example-of-federated-learning.mp4 (4.93 MB)
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05 outro.mp4 (7.06 MB)
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01 specialization-introduction-a-conversation-with-andrew-ng.mp4 (5.81 MB)
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01 course-introduction-a-conversation-with-andrew-ng.mp4 (7.25 MB)
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04 a-few-words-from-laurence.mp4 (5.19 MB)
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05 building-the-model.mp4 (4.43 MB)
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06 training-the-model.mp4 (7.37 MB)
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09 first-example-in-code.mp4 (7.89 MB)
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01 the-iris-dataset.mp4 (3.79 MB)
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03 reading-the-data.mp4 (5.29 MB)
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04 one-hot-encoding.mp4 (2.47 MB)
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05 designing-the-nn.mp4 (3.43 MB)
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08 iris-classifier-in-code.mp4 (11.65 MB)
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01 introduction-a-conversation-with-andrew-ng.mp4 (8.72 MB)
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02 creating-a-convolutional-net-with-javascript.mp4 (8.25 MB)
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03 visualizing-the-training-process.mp4 (4.49 MB)
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01 what-is-a-sprite-sheet.mp4 (6.14 MB)
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03 using-the-sprite-sheet.mp4 (12.04 MB)
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01 using-tf-tidy-to-save-memory.mp4 (1.73 MB)
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02 a-few-words-from-laurence.mp4 (1.93 MB)
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04 mnist-classifier-in-code.mp4 (20.78 MB)
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01 introduction-a-conversation-with-andrew-ng.mp4 (11.87 MB)
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02 a-few-words-from-laurence.mp4 (6.92 MB)
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03 pre-trained-tensorflow-js-models.mp4 (1.14 MB)
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06 toxicity-classifier.mp4 (5.73 MB)
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07 toxicity-classifier-in-code.mp4 (5.85 MB)
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01 mobilenet.mp4 (1.5 MB)
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04 using-mobilenet.mp4 (2.15 MB)
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05 training-results.mp4 (2.95 MB)
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06 mobilenet-example-in-code.mp4 (7.02 MB)
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02 converting-models-to-javascript.mp4 (7.58 MB)
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03 converting-models-to-javascript-in-code.mp4 (4.99 MB)
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04 linear-example-in-code.mp4 (2.68 MB)
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01 introduction-a-conversation-with-andrew-ng.mp4 (7.7 MB)
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02 a-few-words-from-laurence.mp4 (4.58 MB)
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03 building-a-simple-web-page.mp4 (2.99 MB)
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04 retraining-the-mobilenet-model.mp4 (2.04 MB)
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05 the-training-function.mp4 (5.6 MB)
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01 capturing-the-data.mp4 (6.68 MB)
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02 the-dataset-class.mp4 (2.88 MB)
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03 training-the-network-with-the-captured-data.mp4 (3.11 MB)
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01 performing-inference.mp4 (8.39 MB)
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03 rock-paper-scissors-in-code.mp4 (9.93 MB)
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02 a-conversation-with-andrew-ng.mp4 (6.57 MB)
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01 a-conversation-with-andrew-ng.mp4 (15.03 MB)
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01 introduction.mp4 (4.18 MB)
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03 popular-datasets.mp4 (3.83 MB)
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04 data-pipelines.mp4 (1.1 MB)
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05 extract-transform-and-load.mp4 (4.7 MB)
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06 versioning-datasets.mp4 (4.67 MB)
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07 looking-at-the-notebook.mp4 (4.4 MB)
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01 using-tfds-in-keras-to-train-fashion-mnist.mp4 (5.15 MB)
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02 horses-or-humans-in-tfds.mp4 (7.69 MB)
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01 week-1-wrap-up.mp4 (3.28 MB)
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01 introduction.mp4 (9.5 MB)
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01 introduction-to-splits-api.mp4 (9.19 MB)
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02 splits-api-notebook-walkthrough.mp4 (8.51 MB)
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01 file-structure-in-tensorflow-datasets.mp4 (4.74 MB)
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02 feature-descriptors.mp4 (9.23 MB)
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03 tfrecord-colab-walkthrough.mp4 (11.39 MB)
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01 week-2-wrap-up.mp4 (6.27 MB)
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01 a-conversation-with-andrew-ng.mp4 (9.56 MB)
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02 introduction.mp4 (2.48 MB)
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03 input-data.mp4 (1.7 MB)
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04 basic-mechanics.mp4 (3.75 MB)
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05 numeric-and-bucketized-columns.mp4 (2.95 MB)
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06 vocabulary-and-hashed-columns-feature-crossing.mp4 (3.24 MB)
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07 embedding-columns.mp4 (3.69 MB)
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01 introduction.mp4 (2.83 MB)
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02 notebook-walkthrough.mp4 (13.89 MB)
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01 introduction.mp4 (1.09 MB)
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02 numpy-pandas-and-images.mp4 (4.09 MB)
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03 csv.mp4 (5.51 MB)
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04 text-and-tfrecord.mp4 (1.9 MB)
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06 generators.mp4 (3.24 MB)
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01 introduction.mp4 (2.17 MB)
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02 notebook-walkthrough.mp4 (17 MB)
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01 introduction.mp4 (4.68 MB)
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02 using-numpy-and-pandas.mp4 (3.44 MB)
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03 image-data.mp4 (2 MB)
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05 csv-data.mp4 (6.17 MB)
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06 text-data.mp4 (3.91 MB)
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01 a-conversation-with-andrew-ng.mp4 (20.02 MB)
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02 introduction.mp4 (4.38 MB)
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03 etl.mp4 (2.64 MB)
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04 what-happens-when-you-train-a-model.mp4 (5.65 MB)
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01 introduction.mp4 (2.87 MB)
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02 caching.mp4 (1.21 MB)
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03 parallelism-apis.mp4 (3.21 MB)
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04 autotuning.mp4 (3.06 MB)
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05 parallelizing-data-extraction.mp4 (5.23 MB)
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01 best-practices-for-code-improvements.mp4 (5.73 MB)
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02 a-few-words-by-laurence.mp4 (4.12 MB)
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01 a-conversation-with-andrew-ng.mp4 (9.76 MB)
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02 introduction.mp4 (5.66 MB)
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03 how-to-start-using-a-dataset.mp4 (3.3 MB)
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04 implementation.mp4 (5.4 MB)
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05 file-access-and-possible-problems-in-data.mp4 (5.14 MB)
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06 publishing-the-dataset.mp4 (7.39 MB)
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01 introduction.mp4 (2.21 MB)
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03 going-through-the-colab-part-1.mp4 (9.05 MB)
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04 going-through-the-colab-part-2.mp4 (12.78 MB)
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05 closing-words.mp4 (1.74 MB)
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01 a-conversation-with-andrew-ng.mp4 (12.72 MB)
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01 introduction-a-conversation-with-andrew-ng.mp4 (37.84 MB)
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01 a-few-words-from-laurence.mp4 (4.75 MB)
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02 features-and-components-of-mobile-ai.mp4 (2.74 MB)
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03 architecture-and-performance.mp4 (5.86 MB)
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06 optimization-techniques.mp4 (3.87 MB)
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01 saving-converting-and-optimizing-a-model.mp4 (6.49 MB)
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02 examples.mp4 (3.09 MB)
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03 quantization.mp4 (5.1 MB)
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04 tf-select.mp4 (4.93 MB)
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06 paths-in-optimization.mp4 (3.71 MB)
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01 running-the-models.mp4 (4.71 MB)
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02 transfer-learning.mp4 (10.15 MB)
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03 converting-a-model-to-tflite.mp4 (4.72 MB)
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04 transfer-learning-with-tflite.mp4 (15.55 MB)
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01 introduction-a-conversation-with-andrew.mp4 (17.75 MB)
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02 installation-and-resources.mp4 (4.17 MB)
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04 architecture-of-a-model.mp4 (1.3 MB)
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05 initializing-the-interpreter.mp4 (3.49 MB)
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06 preparing-the-input.mp4 (2.21 MB)
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07 inference-and-results.mp4 (2.88 MB)
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01 code-walkthrough.mp4 (7.29 MB)
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02 run-the-app.mp4 (6.76 MB)
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01 classifying-camera-images.mp4 (2.65 MB)
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02 initialize-and-prepare-input.mp4 (6.22 MB)
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01 demo-of-camera-image-classifier.mp4 (13.35 MB)
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01 initialize-model-and-prepare-inputs.mp4 (5.01 MB)
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02 inference-and-results.mp4 (5.04 MB)
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01 demo-of-the-object-detection-app.mp4 (4.68 MB)
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02 code-for-the-inference-and-results.mp4 (7.13 MB)
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01 introduction-a-conversation-with-andrew-ng.mp4 (6.41 MB)
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02 a-few-words-from-laurence.mp4 (6.04 MB)
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03 what-is-swift.mp4 (3.72 MB)
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04 tensorflowliteswift.mp4 (1.96 MB)
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06 cats-vs-dogs-app.mp4 (2.56 MB)
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07 taking-the-initial-steps.mp4 (4.15 MB)
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09 scaling-the-image.mp4 (2.92 MB)
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11 more-steps-in-the-process.mp4 (4.87 MB)
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01 looking-at-the-app-in-xcode.mp4 (13.45 MB)
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02 what-have-we-done-so-far-and-how-do-we-continue.mp4 (3.72 MB)
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03 using-the-app.mp4 (2.73 MB)
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04 app-architecture.mp4 (3.36 MB)
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05 model-details.mp4 (1.4 MB)
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07 initial-steps.mp4 (5.91 MB)
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09 final-steps.mp4 (2.87 MB)
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01 looking-at-the-code-for-the-image-classification-app.mp4 (13.62 MB)
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02 object-classification-intro.mp4 (2.57 MB)
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03 tfl-detect-app.mp4 (6.42 MB)
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04 app-architecture.mp4 (1.16 MB)
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06 initial-steps.mp4 (1.27 MB)
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07 final-steps.mp4 (6.03 MB)
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08 looking-at-the-code-for-the-object-detection-model.mp4 (10.66 MB)
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01 introduction-a-conversation-with-andrew-ng.mp4 (17.13 MB)
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02 a-few-words-from-laurence.mp4 (6.09 MB)
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03 devices.mp4 (5.42 MB)
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01 starting-to-work-on-a-raspberry-pi.mp4 (3.23 MB)
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02 how-do-we-start.mp4 (4.52 MB)
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04 image-classification.mp4 (1.67 MB)
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06 the-4-step-process.mp4 (3.11 MB)
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07 object-detection.mp4 (4.16 MB)
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09 back-to-the-4-step-process.mp4 (7.09 MB)
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01 raspberry-pi-demo.mp4 (7.96 MB)
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01 microcontrollers.mp4 (7.77 MB)
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04 closing-words-by-laurence.mp4 (2.74 MB)
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02 a-conversation-with-andrew-ng.mp4 (8.37 MB)
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