Coursera - TensorFlow Data and Deployment Specialization

[dkmdkm]

Free Download Coursera - TensorFlow Data and Deployment Specialization
Last updated 2/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 207 Lessons ( 7h 55m ) | Size: 1.41 GB
What you'll learn

Run models in your browser using TensorFlow.js
Prepare and deploy models on mobile devices using TensorFlow Lite
Access, organize, and process training data more easily using TensorFlow Data Services
Explore four advanced deployment scenarios using TensorFlow Serving, TensorFlow Hub, and TensorBoard
Skills you'll gain
Tensorflow
Object Detection
Machine Learning
JavaScript
advanced deployment
Continue developing your skills in TensorFlow as you learn to navigate through a wide range of deployment scenarios and discover new ways to use data more effectively when training your machine learning models.
In this four-course Specialization, you'll learn how to get your machine learning models into the hands of real people on all kinds of devices. Start by understanding how to train and run machine learning models in browsers and in mobile applications. Learn how to leverage built-in datasets with just a few lines of code, learn about data pipelines with TensorFlow data services, use APIs to control data splitting, process all types of unstructured data, and retrain deployed models with user data while maintaining data privacy. Apply your knowledge in various deployment scenarios and get introduced to TensorFlow Serving, TensorFlow, Hub, TensorBoard, and more.
Industries all around the world are adopting Artificial Intelligence. This Specialization from Laurence Moroney and Andrew Ng will help you develop and deploy machine learning models across any device or platform faster and more accurately than ever.
Looking for a place to start? Master the foundational basics of TensorFlow with the
DeepLearning.AI TensorFlow Developer Professional Certificate
.
Looking to customize and build powerful real-world models for complex scenarios? Check out the
TensorFlow: Advanced Techniques Specialization
.
Applied Learning Project
In the TensorFlow: Data and Deployment Specialization, you will learn to apply your knowledge in various deployment scenarios and get introduced to TensorFlow Serving, TensorFlow, Hub, TensorBoard, and more, implementing projects you can add to your portfolio and show in interviews.
Homepage

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

No Password - Links are Interchangeable

 

[0dayddl]

​

Download Free Download : Coursera - TensorFlow Data and Deployment Specialization
mp4 | Video: h264,1280X720 | Audio: AAC, 44.1 KHz
Genre:eLearning | Language: English | Size:1.18 GB
​

Files Included :

Spoiler

02 introduction.mp4 (2.54 MB)
MP4
04 serving.mp4 (4.24 MB)
MP4
05 installing-tf-serving.mp4 (1.33 MB)
MP4
08 tensorflow-serving-summary.mp4 (3.22 MB)
MP4
01 setup-for-serving.mp4 (4.92 MB)
MP4
02 serving.mp4 (2.66 MB)
MP4
01 predictions.mp4 (2.39 MB)
MP4
02 passing-data-to-serving.mp4 (2.19 MB)
MP4
03 getting-the-predictions-back.mp4 (3.31 MB)
MP4
05 running-the-colab.mp4 (11.4 MB)
MP4
02 complex-model.mp4 (8.01 MB)
MP4
01 introduction-a-conversation-with-andrew-ng.mp4 (15.78 MB)
MP4
02 introduction-to-tf-hub.mp4 (4.24 MB)
MP4
04 transfer-learning.mp4 (2.15 MB)
MP4
06 inference.mp4 (1.95 MB)
MP4
07 module-storage.mp4 (4.05 MB)
MP4
01 text-based-models.mp4 (3.38 MB)
MP4
02 word-embeddings.mp4 (1.92 MB)
MP4
04 experimenting-with-embeddings.mp4 (2.99 MB)
MP4
06 colab.mp4 (5.88 MB)
MP4
01 classify-cats-and-dogs.mp4 (4.41 MB)
MP4
03 transfer-learning.mp4 (2.37 MB)
MP4
01 introduction-a-conversation-with-andrew-ng.mp4 (16.51 MB)
MP4
02 tensorboard-scalars.mp4 (5.28 MB)
MP4
04 callbacks.mp4 (979.8 KB)
MP4
05 histograms.mp4 (1.37 MB)
MP4
06 publishing-model-details.mp4 (3.27 MB)
MP4
01 local-tensorboard.mp4 (6.48 MB)
MP4
01 looking-at-graphics-in-a-dataset.mp4 (6.61 MB)
MP4
02 more-than-one-image.mp4 (1.29 MB)
MP4
03 confusion-matrix.mp4 (4.8 MB)
MP4
04 multiple-callbacks.mp4 (3.57 MB)
MP4
01 introduction-a-conversation-with-andrew-ng.mp4 (17.43 MB)
MP4
02 training-on-mobile-devices.mp4 (14.62 MB)
MP4
03 data-at-the-edge.mp4 (7.27 MB)
MP4
04 how-it-works.mp4 (4.61 MB)
MP4
01 maintaining-user-privacy.mp4 (12.94 MB)
MP4
02 masking.mp4 (4.58 MB)
MP4
01 apis-for-federated-learning.mp4 (5.44 MB)
MP4
02 example-of-federated-learning.mp4 (4.93 MB)
MP4
05 outro.mp4 (7.06 MB)
MP4
01 specialization-introduction-a-conversation-with-andrew-ng.mp4 (5.81 MB)
MP4
01 course-introduction-a-conversation-with-andrew-ng.mp4 (7.25 MB)
MP4
04 a-few-words-from-laurence.mp4 (5.19 MB)
MP4
05 building-the-model.mp4 (4.43 MB)
MP4
06 training-the-model.mp4 (7.37 MB)
MP4
09 first-example-in-code.mp4 (7.89 MB)
MP4
01 the-iris-dataset.mp4 (3.79 MB)
MP4
03 reading-the-data.mp4 (5.29 MB)
MP4
04 one-hot-encoding.mp4 (2.47 MB)
MP4
05 designing-the-nn.mp4 (3.43 MB)
MP4
08 iris-classifier-in-code.mp4 (11.65 MB)
MP4
01 introduction-a-conversation-with-andrew-ng.mp4 (8.72 MB)
MP4
02 creating-a-convolutional-net-with-javascript.mp4 (8.25 MB)
MP4
03 visualizing-the-training-process.mp4 (4.49 MB)
MP4
01 what-is-a-sprite-sheet.mp4 (6.14 MB)
MP4
03 using-the-sprite-sheet.mp4 (12.04 MB)
MP4
01 using-tf-tidy-to-save-memory.mp4 (1.73 MB)
MP4
02 a-few-words-from-laurence.mp4 (1.93 MB)
MP4
04 mnist-classifier-in-code.mp4 (20.78 MB)
MP4
01 introduction-a-conversation-with-andrew-ng.mp4 (11.87 MB)
MP4
02 a-few-words-from-laurence.mp4 (6.92 MB)
MP4
03 pre-trained-tensorflow-js-models.mp4 (1.14 MB)
MP4
06 toxicity-classifier.mp4 (5.73 MB)
MP4
07 toxicity-classifier-in-code.mp4 (5.85 MB)
MP4
01 mobilenet.mp4 (1.5 MB)
MP4
04 using-mobilenet.mp4 (2.15 MB)
MP4
05 training-results.mp4 (2.95 MB)
MP4
06 mobilenet-example-in-code.mp4 (7.02 MB)
MP4
02 converting-models-to-javascript.mp4 (7.58 MB)
MP4
03 converting-models-to-javascript-in-code.mp4 (4.99 MB)
MP4
04 linear-example-in-code.mp4 (2.68 MB)
MP4
01 introduction-a-conversation-with-andrew-ng.mp4 (7.7 MB)
MP4
02 a-few-words-from-laurence.mp4 (4.58 MB)
MP4
03 building-a-simple-web-page.mp4 (2.99 MB)
MP4
04 retraining-the-mobilenet-model.mp4 (2.04 MB)
MP4
05 the-training-function.mp4 (5.6 MB)
MP4
01 capturing-the-data.mp4 (6.68 MB)
MP4
02 the-dataset-class.mp4 (2.88 MB)
MP4
03 training-the-network-with-the-captured-data.mp4 (3.11 MB)
MP4
01 performing-inference.mp4 (8.39 MB)
MP4
03 rock-paper-scissors-in-code.mp4 (9.93 MB)
MP4
02 a-conversation-with-andrew-ng.mp4 (6.57 MB)
MP4
01 a-conversation-with-andrew-ng.mp4 (15.03 MB)
MP4
01 introduction.mp4 (4.18 MB)
MP4
03 popular-datasets.mp4 (3.83 MB)
MP4
04 data-pipelines.mp4 (1.1 MB)
MP4
05 extract-transform-and-load.mp4 (4.7 MB)
MP4
06 versioning-datasets.mp4 (4.67 MB)
MP4
07 looking-at-the-notebook.mp4 (4.4 MB)
MP4
01 using-tfds-in-keras-to-train-fashion-mnist.mp4 (5.15 MB)
MP4
02 horses-or-humans-in-tfds.mp4 (7.69 MB)
MP4
01 week-1-wrap-up.mp4 (3.28 MB)
MP4
01 introduction.mp4 (9.5 MB)
MP4
01 introduction-to-splits-api.mp4 (9.19 MB)
MP4
02 splits-api-notebook-walkthrough.mp4 (8.51 MB)
MP4
01 file-structure-in-tensorflow-datasets.mp4 (4.74 MB)
MP4
02 feature-descriptors.mp4 (9.23 MB)
MP4
03 tfrecord-colab-walkthrough.mp4 (11.39 MB)
MP4
01 week-2-wrap-up.mp4 (6.27 MB)
MP4
01 a-conversation-with-andrew-ng.mp4 (9.56 MB)
MP4
02 introduction.mp4 (2.48 MB)
MP4
03 input-data.mp4 (1.7 MB)
MP4
04 basic-mechanics.mp4 (3.75 MB)
MP4
05 numeric-and-bucketized-columns.mp4 (2.95 MB)
MP4
06 vocabulary-and-hashed-columns-feature-crossing.mp4 (3.24 MB)
MP4
07 embedding-columns.mp4 (3.69 MB)
MP4
01 introduction.mp4 (2.83 MB)
MP4
02 notebook-walkthrough.mp4 (13.89 MB)
MP4
01 introduction.mp4 (1.09 MB)
MP4
02 numpy-pandas-and-images.mp4 (4.09 MB)
MP4
03 csv.mp4 (5.51 MB)
MP4
04 text-and-tfrecord.mp4 (1.9 MB)
MP4
06 generators.mp4 (3.24 MB)
MP4
01 introduction.mp4 (2.17 MB)
MP4
02 notebook-walkthrough.mp4 (17 MB)
MP4
01 introduction.mp4 (4.68 MB)
MP4
02 using-numpy-and-pandas.mp4 (3.44 MB)
MP4
03 image-data.mp4 (2 MB)
MP4
05 csv-data.mp4 (6.17 MB)
MP4
06 text-data.mp4 (3.91 MB)
MP4
01 a-conversation-with-andrew-ng.mp4 (20.02 MB)
MP4
02 introduction.mp4 (4.38 MB)
MP4
03 etl.mp4 (2.64 MB)
MP4
04 what-happens-when-you-train-a-model.mp4 (5.65 MB)
MP4
01 introduction.mp4 (2.87 MB)
MP4
02 caching.mp4 (1.21 MB)
MP4
03 parallelism-apis.mp4 (3.21 MB)
MP4
04 autotuning.mp4 (3.06 MB)
MP4
05 parallelizing-data-extraction.mp4 (5.23 MB)
MP4
01 best-practices-for-code-improvements.mp4 (5.73 MB)
MP4
02 a-few-words-by-laurence.mp4 (4.12 MB)
MP4
01 a-conversation-with-andrew-ng.mp4 (9.76 MB)
MP4
02 introduction.mp4 (5.66 MB)
MP4
03 how-to-start-using-a-dataset.mp4 (3.3 MB)
MP4
04 implementation.mp4 (5.4 MB)
MP4
05 file-access-and-possible-problems-in-data.mp4 (5.14 MB)
MP4
06 publishing-the-dataset.mp4 (7.39 MB)
MP4
01 introduction.mp4 (2.21 MB)
MP4
03 going-through-the-colab-part-1.mp4 (9.05 MB)
MP4
04 going-through-the-colab-part-2.mp4 (12.78 MB)
MP4
05 closing-words.mp4 (1.74 MB)
MP4
01 a-conversation-with-andrew-ng.mp4 (12.72 MB)
MP4
01 introduction-a-conversation-with-andrew-ng.mp4 (37.84 MB)
MP4
01 a-few-words-from-laurence.mp4 (4.75 MB)
MP4
02 features-and-components-of-mobile-ai.mp4 (2.74 MB)
MP4
03 architecture-and-performance.mp4 (5.86 MB)
MP4
06 optimization-techniques.mp4 (3.87 MB)
MP4
01 saving-converting-and-optimizing-a-model.mp4 (6.49 MB)
MP4
02 examples.mp4 (3.09 MB)
MP4
03 quantization.mp4 (5.1 MB)
MP4
04 tf-select.mp4 (4.93 MB)
MP4
06 paths-in-optimization.mp4 (3.71 MB)
MP4
01 running-the-models.mp4 (4.71 MB)
MP4
02 transfer-learning.mp4 (10.15 MB)
MP4
03 converting-a-model-to-tflite.mp4 (4.72 MB)
MP4
04 transfer-learning-with-tflite.mp4 (15.55 MB)
MP4
01 introduction-a-conversation-with-andrew.mp4 (17.75 MB)
MP4
02 installation-and-resources.mp4 (4.17 MB)
MP4
04 architecture-of-a-model.mp4 (1.3 MB)
MP4
05 initializing-the-interpreter.mp4 (3.49 MB)
MP4
06 preparing-the-input.mp4 (2.21 MB)
MP4
07 inference-and-results.mp4 (2.88 MB)
MP4
01 code-walkthrough.mp4 (7.29 MB)
MP4
02 run-the-app.mp4 (6.76 MB)
MP4
01 classifying-camera-images.mp4 (2.65 MB)
MP4
02 initialize-and-prepare-input.mp4 (6.22 MB)
MP4
01 demo-of-camera-image-classifier.mp4 (13.35 MB)
MP4
01 initialize-model-and-prepare-inputs.mp4 (5.01 MB)
MP4
02 inference-and-results.mp4 (5.04 MB)
MP4
01 demo-of-the-object-detection-app.mp4 (4.68 MB)
MP4
02 code-for-the-inference-and-results.mp4 (7.13 MB)
MP4
01 introduction-a-conversation-with-andrew-ng.mp4 (6.41 MB)
MP4
02 a-few-words-from-laurence.mp4 (6.04 MB)
MP4
03 what-is-swift.mp4 (3.72 MB)
MP4
04 tensorflowliteswift.mp4 (1.96 MB)
MP4
06 cats-vs-dogs-app.mp4 (2.56 MB)
MP4
07 taking-the-initial-steps.mp4 (4.15 MB)
MP4
09 scaling-the-image.mp4 (2.92 MB)
MP4
11 more-steps-in-the-process.mp4 (4.87 MB)
MP4
01 looking-at-the-app-in-xcode.mp4 (13.45 MB)
MP4
02 what-have-we-done-so-far-and-how-do-we-continue.mp4 (3.72 MB)
MP4
03 using-the-app.mp4 (2.73 MB)
MP4
04 app-architecture.mp4 (3.36 MB)
MP4
05 model-details.mp4 (1.4 MB)
MP4
07 initial-steps.mp4 (5.91 MB)
MP4
09 final-steps.mp4 (2.87 MB)
MP4
01 looking-at-the-code-for-the-image-classification-app.mp4 (13.62 MB)
MP4
02 object-classification-intro.mp4 (2.57 MB)
MP4
03 tfl-detect-app.mp4 (6.42 MB)
MP4
04 app-architecture.mp4 (1.16 MB)
MP4
06 initial-steps.mp4 (1.27 MB)
MP4
07 final-steps.mp4 (6.03 MB)
MP4
08 looking-at-the-code-for-the-object-detection-model.mp4 (10.66 MB)
MP4
01 introduction-a-conversation-with-andrew-ng.mp4 (17.13 MB)
MP4
02 a-few-words-from-laurence.mp4 (6.09 MB)
MP4
03 devices.mp4 (5.42 MB)
MP4
01 starting-to-work-on-a-raspberry-pi.mp4 (3.23 MB)
MP4
02 how-do-we-start.mp4 (4.52 MB)
MP4
04 image-classification.mp4 (1.67 MB)
MP4
06 the-4-step-process.mp4 (3.11 MB)
MP4
07 object-detection.mp4 (4.16 MB)
MP4
09 back-to-the-4-step-process.mp4 (7.09 MB)
MP4
01 raspberry-pi-demo.mp4 (7.96 MB)
MP4
01 microcontrollers.mp4 (7.77 MB)
MP4
04 closing-words-by-laurence.mp4 (2.74 MB)
MP4
02 a-conversation-with-andrew-ng.mp4 (8.37 MB)
MP4

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

Free search engine download: Coursera - TensorFlow Data and Deployment Specialization