TensorFlow Data and Deployment Specialization

0 %

Course content

1.Specialization Introduction
- 1.Specialization Introduction, A Conversation with Andrew Ng.mp4
2.Training and Inference using TensorFlow.js in JavaScript
- 1.Course Introduction, A Conversation with Andrew Ng.mp4
- 2.A Few Words From Laurence.mp4
- 3.Building the Model.mp4
- 4.Training the Model.mp4
- 5.First Example In Code.mp4
Quiz
- 2023-02-24_11-12_1.png
- 2023-02-24_11-12.png
- 2023-02-24_11-13_1.png
- 2023-02-24_11-13.png
3.Training Models with CSV Files
- 1.The Iris Dataset.mp4
- 2.Reading the Data.mp4
- 3.One-hot Encoding.mp4
- 4.Designing the NN.mp4
- 5.Iris Classifier In Code.mp4
Quiz
- 2023-02-24_11-15.png
Grade quiz
- 2023-02-24_11-07.png
- link
1.Creating Convolutional Neural Networks in JavaScript
- 1.Introduction, A Conversation with Andrew Ng.mp4
- 2.Creating a Convolutional Net with JavaScript.mp4
- 3.Visualizing the Training Process.mp4
2.Using a Sprite Sheet
- 1.What is a Sprite Sheet.mp4
- 2.Using the Sprite Sheet.mp4
3.MNIST Classifier
- 1.Using tf.tidy() to Save Memory.mp4
- 2.A Few Words From Laurence.mp4
- 3.MNIST Classifier In Code.mp4
Quiz
- 2023-02-24_11-17_1.png
- 2023-02-24_11-17.png
- 2023-02-24_11-18_1.png
- 2023-02-24_11-18_2.png
- 2023-02-24_11-18.png
Grade quiz
- 2023-02-24_11-19.png
- 2023-02-24_11-21_1.png
- 2023-02-24_11-21.png
- link
1.Toxicity Classifier
- 1.Introduction, A Conversation with Andrew Ng.mp4
- 2.A Few Words From Laurence.mp4
- 3.Pre-trained TensorFlow.js Models.mp4
- 4.Toxicity Classifier.mp4
- 5.Toxicity Classifier In Code.mp4
2.Image Classification Using MobileNet
- 1.MobileNet.mp4
- 2.Using MobileNet.mp4
- 3.Training Results.mp4
- 4.MobileNet Example In Code.mp4
3.Converting Models to JSON Format
- 1.Converting Models to JavaScript.mp4
- 2.Converting Models to JavaScript In Code.mp4
- 3.Linear Example In Code.mp4
Quiz
- 2023-02-24_11-23.png
- 2023-02-24_11-24_1.png
- 2023-02-24_11-24.png
Grade quiz
- 2023-02-24_11-25.png
- link
1.Retraining the MobileNet Model
- 1.Introduction, A Conversation with Andrew Ng.mp4
- 2.A Few Words From Laurence.mp4
- 3.Building a Simple Web Page.mp4
- 4.Retraining the MobileNet Model.mp4
- 5.The Training Function.mp4
2.Capturing the Data
- 1.Capturing the Data.mp4
- 2.The Dataset Class.mp4
- 3.Training the Network with the Captured Data.mp4
3.Performing Inference From the Webcam Feed
- 1.Performing Inference.mp4
- 2.Rock Paper Scissors In Code.mp4
Quiz
- 2023-02-24_11-28_1.png
- 2023-02-24_11-28_2.png
- 2023-02-24_11-28_3.png
- 2023-02-24_11-28.png
- 2023-02-24_11-29.png
4.Course 1 wrap up
- 1.A conversation with Andre Ng.mp4
Grade quiz
- 2023-02-24_11-30_1.png
- 2023-02-24_11-30.png
- 2023-02-24_11-31.png
- 2023-02-24_11-32.png
- link
1.Course Introduction
- 1.Introduction, A conversation with Andrew Ng.mp4
2.Machine Learning Models in Mobile and Embedded Systems
- 1.A few words from Laurence.mp4
- 2.Features and components of mobile AI.mp4
- 3.Architecture and performance.mp4
- 4.Optimization Techniques.mp4
3.Taking a look at the saved model format
- 1.Saving, converting, and optimizing a model.mp4
- 2.Examples.mp4
- 3.Quantization.mp4
- 4.TF-Select.mp4
- 5.Paths in Optimization.mp4
4.First primer on running models on mobile devices
- 1.Running the models.mp4
- 2.Transfer learning.mp4
- 3.Converting a model to TFLite.mp4
- 4.Transfer learning with TFLite.mp4
Quiz
- 2023-02-24_17-43_1.png
- 2023-02-24_17-43_2.png
- 2023-02-24_17-43_3.png
Exercise 1 - Train Your Own Model and Convert It to TFLite
- Exercise_1_TF_Lite_Question-FINAL.ipynb
Grade exercise
- 2023-02-24_17-46.png
1.Introduction
- 1.Introduction, A conversation with Andrew.mp4
- 2.Installation and resources.mp4
- 3.Architecture of a model.mp4
- 4.Initializing the Interpreter.mp4
- 5.Preparing the Input.mp4
- 6.Inference and results.mp4
2.Basic image classification
- 1.Code walkthrough.mp4
- 2.Run the App.mp4
3.Classifying camera images
- 1.Classifying camera images.mp4
- 2.Initialize and prepare input.mp4
4.Code walkthrough - camera image classifier
- 1.Demo of camera image classifier.mp4
Quiz
- 2023-02-24_17-47_1.png
- 2023-02-24_17-47_2.png
- 2023-02-24_17-47_3.png
- 2023-02-24_17-47.png
5.Object detection
- 1.Initialize model and prepare inputs.mp4
- 2.Inference and results.mp4
6.Code walkthrough of an object detection app
- 1.Demo of the object detection App.mp4
- 2.Code for the inference and results.mp4
Quiz
- 2023-03-01_08-47.png
- 2023-03-01_08-48_1.png
- 2023-03-01_08-48.png
1.Introduction
- 1.Introduction, A conversation with Andrew Ng.mp4
- 2.A few words from Laurence.mp4
- 3.What is Swift?.mp4
- 4.TensorFlowLiteSwift.mp4
- 5.Cats vs Dogs App.mp4
- 6.Taking the initial steps.mp4
- 7.Scaling the image.mp4
- 8.More steps in the process.mp4
2.Next steps
- 1.Looking at the App in Xcode.mp4
- 2.What have we done so far and how do we continue?.mp4
- 3.Using the App.mp4
- 4.App architecture.mp4
- 5.Model details.mp4
- 6.Initial steps.mp4
- 7.Final steps.mp4
3.Classification and detection
- 1.Looking at the code for the image classification App.mp4
- 2.Object classification intro.mp4
- 3.TFL detect App.mp4
- 4.App architecture.mp4
- 5.Initial steps.mp4
- 6.Final steps.mp4
- 7.Looking at the code for the object detection model.mp4
Quiz
- 2023-02-24_17-48_1.png
- 2023-02-24_17-48.png
- 2023-02-24_17-49.png
1.Introduction
- 1.Introduction, A conversation with Andrew Ng.mp4
- 2.A few words from Laurence.mp4
- 3.Devices.mp4
2.Example: Raspberry Pi
- 1.Starting to work on a Raspberry Pi.mp4
- 2.How do we start?.mp4
- 3.Image classification.mp4
- 4.The 4 step process.mp4
- 5.Object detection.mp4
- 6.Back to the 4 step process.mp4
3.Raspberry pi demo
- 1.Raspberry Pi demo.mp4
4.Microcontrollers
- 1.Microcontrollers.mp4
- 2.Closing words by Laurence.mp4
Quiz
- 2023-02-24_17-49.png
- 2023-02-24_17-50_1.png
- 2023-02-24_17-50.png
5.Course 2 Wrap up
- 1.A conversation with Andrew Ng.mp4
1.Data Pipelines with TensorFlow Data Services
- 1.A conversation with Andrew Ng.mp4
2.Introduction
- 1.Introduction.mp4
- 2.Popular Datasets.mp4
- 3.Data Pipelines.mp4
- 4.Extract, Transform and Load.mp4
- 5.Versioning Datasets.mp4
- 6.Looking at the Notebook.mp4
3.Using TFDS
- 1.Using TFDS in Keras to Train Fashion MNIST .mp4
- 2.Horses or Humans in TFDS.mp4
4.Week1 Quiz and Closing Words
- 1.Week 1 Wrap Up.mp4
Quiz
- 2023-02-24_17-51.png
- 2023-02-24_17-52_1.png
- 2023-02-24_17-52_2.png
- 2023-02-24_17-52_3.png
- 2023-02-24_17-52.png
Programming Assignment: TFDS with Rock, Paper and Scissors
- TFDS-V2-Week1.ipynb
1.Introduction
- 1.Introduction.mp4
2.Splits and Slices
- 1.Introduction to Splits API.mp4
- 2.Splits API Notebook Walkthrough.mp4
3.TFRecord
- 1.File Structure in TensorFlow Datasets.mp4
- 2.Feature Descriptors.mp4
- 3.TFRecord Colab Walkthrough.mp4
4.Week 2 Quiz and Closing Words
- 1.Week 2 Wrap Up.mp4
Quiz
- 2023-03-01_08-50_1.png
- 2023-03-01_08-50_2.png
- 2023-03-01_08-50.png
Programming Assignment: Transfer Learning and Splits API
- TFDS-V2-Week2.ipynb
1.Programming APIs and Column Types
- 1.A Conversation with Andrew Ng.mp4
- 2.Introduction.mp4
- 3.Input Data.mp4
- 4.Basic Mechanics.mp4
- 5.Numeric and Bucketized Columns.mp4
- 6.Vocabulary and Hashed Columns, Feature Crossing.mp4
- 7.Embedding Columns.mp4
2.Going over the Notebook
- 1.Introduction.mp4
- 2.Reading: link to the notebook.mp4
3.Extracting and Loading Data to Pipelines
- 1.Introduction.mp4
- 2.Numpy, Pandas and Images.mp4
- 3.CSV.mp4
- 4.Text and TFRecord.mp4
- 5.Generators.mp4
4.Looking at the Code
- 1.Introduction.mp4
- 2.Notebook walkthrough.mp4
5.Loading Data Present Outside TFDS
- 1.Introduction.mp4
- 2.Using Numpy and Pandas.mp4
- 3.Image Data.mp4
- 4.CSV Data.mp4
- 5.Text Data.mp4
6.Week 3 quiz
- 2023-02-24_17-54_1.png
- 2023-02-24_17-54_2.png
- 2023-02-24_17-54_3.png
- 2023-02-24_17-54.png
Programming Assignment: Classify Structured Data
- TFDS-V2-Week3.ipynb
1.Tuning and Performance Improvements in your Pipeline
- 1.A conversation with Andrew Ng.mp4
- 2.Introduction.mp4
- 3.ETL.mp4
- 4.What Happens When You Train a Model.mp4
2.Methodologies to Improve Performance
- 1.Introduction.mp4
- 2.Caching.mp4
- 3.Parallelism APIs.mp4
- 4.Autotuning.mp4
- 5.Parallelizing Data Extraction.mp4
3.Best Practices
- 1.Best Practices for Code Improvements.mp4
- 2.A Few Words by Laurence.mp4
Quiz
- 2023-02-24_17-55.png
- 2023-02-24_17-56_1.png
- 2023-02-24_17-56_2.png
- 2023-02-24_17-56_3.png
- 2023-02-24_17-56.png
4.[Optional] Publishing your Datasets
- 1.A conversation with Andrew Ng.mp4
- 2.Introduction.mp4
- 3.How to Start Using a Dataset.mp4
- 4.Implementation.mp4
- 5.File Access and Possible Problems in Data.mp4
- 6.Publishing the Dataset.mp4
5.[Optional] Colab
- 1.Introduction.mp4
- 2.Going Through the Colab- Part 1.mp4
- 3.Going Through the Colab - Part 2.mp4
- 4.Closing Words.mp4
Quiz
- 2023-02-24_17-57_1.png
- 2023-02-24_17-57_2.png
- 2023-02-24_17-57_3.png
- 2023-02-24_17-57.png
6.Course 3 wrap up
- 1.A conversation with Andrew Ng.mp4
Lab Adding a Dataset of your Own to TFDS
- TFDS-V2-Week4-Optional.ipynb
Programming Assignment: Parallelization with TFDS
- TFDS-V2-Week4.ipynb
1.TF serving as another deployment option for the model and ways to install it
- 1.Introduction, A conversation with Andrew Ng.mp4
- 2.Introduction.mp4
- 3.Serving.mp4
- 4.Installing TF Serving.mp4
- 5.TensorFlow Serving summary.mp4
2.Building a model and deploying to TF Serving
- 1.Setup for serving.mp4
- 2.Serving.mp4
3.Passing data to and from the model
- 1.Predictions.mp4
- 2.Passing data to serving.mp4
- 3.Getting the predictions back.mp4
- 4.Running the colab.mp4
4.Looking into a more complex model using the Fashion MNIST dataset
- 1.Complex model.mp4
Quiz
- 2023-02-24_17-58.png
- 2023-02-24_17-59_1.png
- 2023-02-24_17-59.png
Ungraded Assignment - Serving with MNIST
- C4_W1_Assignment.ipynb
1.TF Hub
- 1.Introduction, A conversation with Andrew Ng.mp4
2.Text based models
- 2.Word embeddings.mp4
- 3.Experimenting with embeddings.mp4
- 4.Colab.mp4
3.Image classification
- 1.Classify cats and dogs.mp4
- 2.Transfer learning.mp4
Quiz
- 2023-02-24_18-00_1.png
- 2023-02-24_18-00_2.png
- 2023-02-24_18-00.png
TensorFlow Hub assignment
- TF_Serving_Week_2_Exercise_Question.ipynb
1.Overview of Tensorboard
- 1.Introduction, A conversation with Andrew Ng.mp4
Tensorboard Assignment
- TF_Serving_Week_3_Exercise_Question.ipynb
branches
- config
- description
- HEAD
hooks
- applypatch-msg.sample
- commit-msg.sample
- fsmonitor-watchman.sample
- post-update.sample
- pre-applypatch.sample
- pre-commit.sample
- pre-push.sample
- pre-rebase.sample
- pre-receive.sample
- prepare-commit-msg.sample
- update.sample
- index
info
- exclude
logs
- HEAD
heads
- main
origin
- HEAD
pack
- pack-1422b27acf9bb82308a71e3a7335b0ecfaf458f1.idx
- pack-1422b27acf9bb82308a71e3a7335b0ecfaf458f1.pack
- packed-refs
heads
- main
origin
- HEAD
tags
- .gitignore
- .gitmodules
Misc
- mnist_images.png
- README.md
assignment
- C1_W1_Assignment.html
data
- wdbc-test.csv
- wdbc-train.csv
ungraded_labs
- C1_W1_Lab_1_FirstHTML.html
- C1_W1_Lab_2_iris_classifier.html
data
- iris.csv
assignment
- C1_W2_Assignment.js
- fashion-data.js
- fashion-mnist.html
ungraded_lab
- C1_W2_Lab_1_mnist.html
- data.js
- script.js
assignment
- C1_W3_Assignment.ipynb
data
- cats_and_dogs_filtered.zip
ungraded_labs
- C1_W3_Lab_1_toxicity_classifier.html
- C1_W3_Lab_2_mobilenet.html
- C1_W3_Lab_3A_linear_to_JavaScript.ipynb
- C1_W3_Lab_3B_linear.html
image
- cat.jpg
- coffee.jpg
- pig.jpg
output_files
- group1-shard1of1.bin
- model.json
assignment
- C1_W4_Assignment.js
- rps-dataset.js
- rpsls.html
- webcam.js
ungraded_lab
- C1_W4_Lab_1_retrain.html
- index.js
- rps-dataset.js
- webcam.js
C2_Device-based-TF-lite
- README.md
assignment
- C2_W1_Assignment.ipynb
- fileNameOnCoursera.md
ungraded_labs
- C2_W1_Lab_1_Linear_Regression.ipynb
- C2_W1_Lab_2_Transfer_Learning.ipynb
assignment_optional
- C2_W2_Assignment_Solution.ipynb
- C2_W2_Assignment.ipynb
cats_vs_dogs
- .gitignore
app
- .gitignore
- build.gradle
- proguard-rules.pro
main
- AndroidManifest.xml
assets
- converted_model.tflite
- Classifier.kt
view
- ImageClassifierActivity.kt
drawable
- ic_launcher_background.xml
- img0.jpg
- img1.jpg
- img2.jpg
- img3.jpg
- img4.jpg
- img5.jpg
- img6.jpg
- img17.jpg
- img22.jpg
drawable-v24
- ic_launcher_foreground.xml
drawable-xxhdpi
- ic_action_info.png
- ic_launcher.png
layout
- activity_image_classifier.xml
mipmap-anydpi-v26
- ic_launcher_round.xml
- ic_launcher.xml
mipmap-hdpi
- ic_launcher_round.png
- ic_launcher.png
mipmap-mdpi
- ic_launcher_round.png
- ic_launcher.png
mipmap-xhdpi
- ic_launcher_round.png
- ic_launcher.png
mipmap-xxhdpi
- ic_launcher_round.png
- ic_launcher.png
mipmap-xxxhdpi
- ic_launcher_round.png
- ic_launcher.png
values
- colors.xml
- dimens.xml
- strings.xml
- styles.xml
- build.gradle
- dependency.gradle
wrapper
- gradle-wrapper.jar
- gradle-wrapper.properties
- gradle.properties
- gradlew
- gradlew.bat
- settings.gradle
image_classification
- .gitignore
app
- .gitignore
- build.gradle
- proguard-rules.pro
sample
- ExampleInstrumentedTest.java
main
- AndroidManifest.xml
assets
- mobilenet_v1_1.0_224_quant.tflite
camera
- ActivityExtensions.kt
- AutoFitTextureView.kt
- Camera2BasicFragment.kt
- CameraActivity.kt
- CompareSizesByArea.kt
- ConfirmationDialog.kt
- Constants.kt
- ErrorDialog.kt
tflite
- Classifier.kt
utils
- ImageUtils.java
drawable
- ic_launcher_background.xml
drawable-v24
- ic_launcher_foreground.xml
layout
- activity_camera.xml
- activity_main.xml
- camera_connection_fragment.xml
- fragment_camera_preview_frament.xml
- fragment_camera.xml
- fragment_camera2_basic.xml
mipmap-anydpi-v26
- ic_launcher_round.xml
- ic_launcher.xml
mipmap-hdpi
- ic_launcher_round.png
- ic_launcher.png
mipmap-mdpi
- ic_launcher_round.png
- ic_launcher.png
mipmap-xhdpi
- ic_launcher_round.png
- ic_launcher.png
mipmap-xxhdpi
- ic_launcher_round.png
- ic_launcher.png
mipmap-xxxhdpi
- ic_launcher_round.png
- ic_launcher.png
values
- colors.xml
- dimens.xml
- strings.xml
- styles.xml
sample
- ExampleUnitTest.java
- build.gradle
wrapper
- gradle-wrapper.jar
- gradle-wrapper.properties
- gradle.properties
- gradlew
- gradlew.bat
- settings.gradle
object_detection
- .gitignore
app
- .gitignore
- build.gradle
- proguard-rules.pro
main
- AndroidManifest.xml
assets
- detect.tflite
objectdetection
- CameraActivity.kt
- CameraConnectionFragment.kt
customview
- AutoFitTextureView.kt
- OverlayView.kt
- RecognitionScoreView.kt
- ResultsView.kt
- DetectorActivity.kt
env
- BorderedText.kt
- ImageUtils.kt
- Logger.kt
- LegacyCameraConnectionFragment.kt
tflite
- Classifier.kt
- TFLiteObjectDetectionAPIModel.kt
tracking
- MultiBoxTracker.kt
drawable
- bottom_sheet_bg.xml
- ic_baseline_add.xml
- ic_baseline_remove.xml
- ic_launcher_background.xml
- laptop.jpeg
- rectangle.xml
drawable-hdpi
- ic_launcher.png
drawable-mdpi
- ic_launcher.png
drawable-v24
- ic_launcher_foreground.xml
drawable-xhdpi
- ic_launcher.png
drawable-xxhdpi
- ic_launcher.png
- icn_chevron_down.png
- icn_chevron_up.png
- icn_tf_lite.png
- tfl_logo.png
drawable-xxxhdpi
- caret.jpg
- chair.jpg
- sample_image.jpg
layout
- activity_camera.xml
- camera_connection_fragment_tracking.xml
- camera_connection_fragment.xml
mipmap-anydpi-v26
- ic_launcher_round.xml
- ic_launcher.xml
mipmap-hdpi
- ic_launcher_round.png
- ic_launcher.png
mipmap-mdpi
- ic_launcher_round.png
- ic_launcher.png
mipmap-xhdpi
- ic_launcher_round.png
- ic_launcher.png
mipmap-xxhdpi
- ic_launcher_round.png
- ic_launcher.png
mipmap-xxxhdpi
- ic_launcher_round.png
- ic_launcher.png
values
- base-strings.xml
- colors.xml
- dimens.xml
- strings.xml
- styles.xml
- build.gradle
wrapper
- gradle-wrapper.jar
- gradle-wrapper.properties
- gradle.properties
- gradlew
- gradlew.bat
- settings.gradle
assignment_optional
- C2_W3_Assignment_Solution.ipynb
- C2_W3_Assignment.ipynb
AppDelegate
- AppDelegate.swift
0.imageset
- 0.jpg
- Contents.json
1.imageset
- 1.jpg
- Contents.json
2.imageset
- 2.jpg
- Contents.json
3.imageset
- 3.jpg
- Contents.json
4.imageset
- 4.jpg
- Contents.json
5.imageset
- 5.jpg
- Contents.json
6.imageset
- 6.jpg
- Contents.json
AppIcon.appiconset
- Contents.json
- Contents.json
Cells
- ImageCell.swift
- converted_model.tflite
Extensions
- CVPixelBufferExtension.swift
- UIImageExtension.swift
- Info.plist
Model
- .gitignore
ModelDataHandler
- ModelDataHandler.swift
New Group
- UIImageExtension.swift
Base.lproj
- LaunchScreen.storyboard
- Main.storyboard
ViewController
- ViewController.swift
CatVsDogClassifierSample.xcodeproj
- project.pbxproj
xcschemes
- xcschememanagement.plist
CatVsDogClassifierSample.xcworkspace
- contents.xcworkspacedata
xcshareddata
- IDEWorkspaceChecks.plist
lmoroney.xcuserdatad
- UserInterfaceState.xcuserstate
- Podfile
- Podfile.lock
Pods
- Manifest.lock
Pods.xcodeproj
- project.pbxproj
xcschemes
- Pods-CatVsDogClassifierSample.xcscheme
- TensorFlowLiteC.xcscheme
- TensorFlowLiteSwift.xcscheme
- xcschememanagement.plist
Pods-CatVsDogClassifierSample
- Pods-CatVsDogClassifierSample-acknowledgements.markdown
- Pods-CatVsDogClassifierSample-acknowledgements.plist
- Pods-CatVsDogClassifierSample-dummy.m
- Pods-CatVsDogClassifierSample-Info.plist
- Pods-CatVsDogClassifierSample-umbrella.h
- Pods-CatVsDogClassifierSample.debug.xcconfig
- Pods-CatVsDogClassifierSample.modulemap
- Pods-CatVsDogClassifierSample.release.xcconfig
TensorFlowLiteC
- TensorFlowLiteC.xcconfig
TensorFlowLiteSwift
- TensorFlowLiteSwift-dummy.m
- TensorFlowLiteSwift-Info.plist
- TensorFlowLiteSwift-prefix.pch
- TensorFlowLiteSwift-umbrella.h
- TensorFlowLiteSwift.modulemap
- TensorFlowLiteSwift.xcconfig
Headers
- c_api_types.h
- c_api.h
- TensorFlowLiteC.h
Modules
- module.modulemap
- TensorFlowLiteC
TensorFlowLiteSwift
- LICENSE
- README.md
Sources
- Interpreter.swift
- InterpreterError.swift
- InterpreterOptions.swift
- Model.swift
- QuantizationParameters.swift
- Tensor.swift
- TensorFlowLite.swift
AppDelegate
- AppDelegate.swift
AppIcon.appiconset
- Contents.json
- icn_76x76.png
- icn_120x120.png
- icn_152x152.png
- icn_167x167.png
- icn_180x180.png
- Contents.json
down_icon.imageset
- Contents.json
- icnChevronDown.png
- icnChevronDown@2x.png
- icnChevronDown@3x.png
tfl_logo.imageset
- Contents.json
- tfl_logo.png
- tfl_logo@2x.png
- tfl_logo@3x.png
up_icon.imageset
- Contents.json
- icnChevronUp.png
- icnChevronUp@2x.png
- icnChevronUp@3x.png
Camera Feed
- CameraFeedManager.swift
- PreviewView.swift
Extensions
- CVPixelBufferExtension.swift
- Info.plist
Model
- .gitignore
ModelDataHandler
- ModelDataHandler.swift
Base.lproj
- LaunchScreen.storyboard
- Main.storyboard
ViewControllers
- ViewController.swift
ImageClassification.xcodeproj
- project.pbxproj
xcschemes
- xcschememanagement.plist
ImageClassification.xcworkspace
- contents.xcworkspacedata
xcshareddata
- IDEWorkspaceChecks.plist
lmoroney.xcuserdatad
- UserInterfaceState.xcuserstate
xcdebugger
- Breakpoints_v2.xcbkptlist
- Podfile
- Podfile.lock
Pods
- Manifest.lock
Pods.xcodeproj
- project.pbxproj
xcschemes
- Pods-ImageClassification.xcscheme
- TensorFlowLiteC.xcscheme
- TensorFlowLiteSwift.xcscheme
- xcschememanagement.plist
Pods-ImageClassification
- Pods-ImageClassification-acknowledgements.markdown
- Pods-ImageClassification-acknowledgements.plist
- Pods-ImageClassification-dummy.m
- Pods-ImageClassification-Info.plist
- Pods-ImageClassification-umbrella.h
- Pods-ImageClassification.debug.xcconfig
- Pods-ImageClassification.modulemap
- Pods-ImageClassification.release.xcconfig
TensorFlowLiteC
- TensorFlowLiteC.xcconfig
TensorFlowLiteSwift
- TensorFlowLiteSwift-dummy.m
- TensorFlowLiteSwift-Info.plist
- TensorFlowLiteSwift-prefix.pch
- TensorFlowLiteSwift-umbrella.h
- TensorFlowLiteSwift.modulemap
- TensorFlowLiteSwift.xcconfig
Headers
- c_api_types.h
- c_api.h
- TensorFlowLiteC.h
Modules
- module.modulemap
- TensorFlowLiteC
TensorFlowLiteSwift
- LICENSE
- README.md
Sources
- Interpreter.swift
- InterpreterError.swift
- InterpreterOptions.swift
- Model.swift
- QuantizationParameters.swift
- Tensor.swift
- TensorFlowLite.swift
RunScripts
- download_models.sh
AppDelegate
- AppDelegate.swift
AppIcon.appiconset
- Contents.json
- icn_76x76.png
- icn_120x120.png
- icn_152x152.png
- icn_167x167.png
- icn_180x180.png
- Contents.json
down_icon.imageset
- Contents.json
- icnChevronDown.png
- icnChevronDown@2x.png
- icnChevronDown@3x.png
tfl_logo.imageset
- Contents.json
- tfl_logo.png
- tfl_logo@2x.png
- tfl_logo@3x.png
up_icon.imageset
- Contents.json
- icnChevronUp.png
- icnChevronUp@2x.png
- icnChevronUp@3x.png
Base.lproj
- LaunchScreen.storyboard
- Main.storyboard
Camera Feed
- CameraFeedManager.swift
- PreviewView.swift
Cells
- InfoCell.swift
Extensions
- CVPixelBufferExtension.swift
- StringExtension.swift
- UIColorExtension.swift
- Info.plist
Model
- .gitignore
ModelDataHandler
- ModelDataHandler.swift
ViewControllers
- ViewController.swift
Views
- OverlayView.swift
ObjectDetection.xcodeproj
- project.pbxproj
xcschemes
- xcschememanagement.plist
ObjectDetection.xcworkspace
- contents.xcworkspacedata
xcshareddata
- IDEWorkspaceChecks.plist
lmoroney.xcuserdatad
- UserInterfaceState.xcuserstate
xcdebugger
- Breakpoints_v2.xcbkptlist
- Podfile
- Podfile.lock
Pods
- Manifest.lock
Pods.xcodeproj
- project.pbxproj
xcschemes
- Pods-ObjectDetection.xcscheme
- TensorFlowLiteC.xcscheme
- TensorFlowLiteSwift.xcscheme
- xcschememanagement.plist
Pods-ObjectDetection
- Pods-ObjectDetection-acknowledgements.markdown
- Pods-ObjectDetection-acknowledgements.plist
- Pods-ObjectDetection-dummy.m
- Pods-ObjectDetection-Info.plist
- Pods-ObjectDetection-umbrella.h
- Pods-ObjectDetection.debug.xcconfig
- Pods-ObjectDetection.modulemap
- Pods-ObjectDetection.release.xcconfig
TensorFlowLiteC
- TensorFlowLiteC.xcconfig
TensorFlowLiteSwift
- TensorFlowLiteSwift-dummy.m
- TensorFlowLiteSwift-Info.plist
- TensorFlowLiteSwift-prefix.pch
- TensorFlowLiteSwift-umbrella.h
- TensorFlowLiteSwift.modulemap
- TensorFlowLiteSwift.xcconfig
Headers
- c_api_types.h
- c_api.h
- TensorFlowLiteC.h
Modules
- module.modulemap
- TensorFlowLiteC
TensorFlowLiteSwift
- LICENSE
- README.md
Sources
- Interpreter.swift
- InterpreterError.swift
- InterpreterOptions.swift
- Model.swift
- QuantizationParameters.swift
- Tensor.swift
- TensorFlowLite.swift
RunScripts
- download_models.sh
assignment_optional
- C2_W4_Assignment_Solution.py
- C2_W4_Assignment.py
hyperparameter_tuning
- .gitignore
- classify.py
- README.md
image_classification
- .gitignore
- classify.py
- dog.jpg
- mobilenet_v1_1.0_224_quant.tflite
- README.md
object_detection
- .gitignore
- arial.ttf
- detect.tflite
- detector.py
- main.py
- README.md
- utils.py
- visualization_utils.py
- README.md
transfer_learning
- .gitignore
- classify.py
- README.md
C3_Data-pipelines
- README.md
assignment
- C3_W1_Assignment.ipynb
- fileNameOnCoursera.md
ungraded_labs
- C3_W1_Lab_1_tfds_hello_world.ipynb
- C3_W1_Lab_2_horses_or_humans.ipynb
assignment
- C3_W2_Assignment.ipynb
- fileNameOnCoursera.md
ungraded_labs
- C3_W2_Lab_1_splits_api.ipynb
- C3_W2_Lab_2_tfrecords.ipynb
assignment
- C3_W3_Assignment.ipynb
data
- heart.csv
- fileNameOnCoursera.md
data
- heart.csv
A1
- C3_W4_A1_Assignment.ipynb
- fileNameOnCoursera.md
A2
- C3_W4_A2_Assignment_Optional_Solution.ipynb
- C3_W4_A2_Assignment_Optional.ipynb
imdb_crop
- imdb.mat
0.1.0
- dataset_info.json
image
- __init__.py
- imdb_faces.py
scripts
- create_new_dataset.py
url_checksums
- fileNameOnCoursera.md
C4_Advanced-deployment
- README.md
assignment
- C4_W1_Assignment_Solution.ipynb
- C4_W1_Assignment.ipynb
ungraded_labs
- C4_W1_Lab_1_tfserving_hello_world.ipynb
assignment
- C4_W2_Assignment.ipynb
- fileNameOnCoursera.md
ungraded_labs
- C4_W2_Lab_1_tfhub_basic_examples.ipynb
- C4_W2_Lab_2_text_classification.ipynb
- C4_W2_Lab_3_transfer_learning.ipynb
assets
- saved_model.pb
variables
- variables.data-00000-of-00001
- variables.index
tf2-preview_mobilenet_v2_classification_4
- saved_model.pb
variables
- variables.data-00000-of-00001
- variables.index
tf2-preview_mobilenet_v2_feature_vector_4
- saved_model.pb
variables
- variables.data-00000-of-00001
- variables.index
saved_model
- saved_model.pb
variables
- variables.data-00000-of-00001
- variables.index
assignment
- C4_W3_Assignment.ipynb
data
- test_images.npy
- test_labels.npy
- train_images.npy
- train_labels.npy
- fileNameOnCoursera.md
images
- tensorboard_01.png
- tensorboard_02.png
- tensorboard_03.png
- tensorboard_04.png
ungraded_lab
- README.md

5.First Example In Code.mp4

Views
0	Total Views
0	Members Views
0	Public Views

Actions
0	Likes
0	Dislikes
0	Comments

TensorFlow Data and Deployment Specialization

5.First Example In Code.mp4

Share on Social Networks

Share Link

Share by mail

Embed in your website