13.9 GB | N/A | zip | N/AXN/A | N/A
Genre:eLearning |Language:English
Files Included :
1 -Curriculum (56.6 MB)
1 -Data Collection Introduction (14.85 MB)
2 -Finding ready to use dataset for training image classification models (38.49 MB)
3 -dataset (272.83 MB)
3 -Exploring Downloaded dataset for training custom image classification models (20.07 MB)
1 -Section Introduction (5.95 MB)
2 -Exploring Teachable Machine and Uploading Dataset for Model Training (36.76 MB)
3 -Training, Testing and Converting Model into Tensorflow Lite (50.37 MB)
4 -Attaching Metadata with Trained Tensorflow Lite Models (7.84 MB)
5 -Attaching Metadata and Downloading Ready to Use Model (47.44 MB)
1 -Transfer Learning Introduction (10.49 MB)
2 -Installing and Importing Libraries for Model Training (45.03 MB)
3 -Uploading Dataset and Connecting Google Drive (30.98 MB)
4 -Dividing dataset into train test and validation parts (48.51 MB)
5 -Training Custom Image Classification Model (72.3 MB)
6 -Testing the model and Converting it to Tensorflow Lite Format (37.47 MB)
1 -Object Detection & Applications Introduction (27.32 MB)
2 -How an Object Detection Model is Trained (14.09 MB)
1 -What is Data Collection (21.78 MB)
2 -Collecting dataset for training Object Detection model (51.01 MB)
3 -Exploring dataset and managing it for object detection model training (36.9 MB)
4 -What is Data Annotation (30.37 MB)
5 -Exploring Data Annotation Tool and Uploading data (100 MB)
6 -Annotating dataset for training object detection model (92.57 MB)
7 -Adding Annotated Images in Dataset and Correcting Classes (28.24 MB)
8 -Appling Data Augmentation and Exporting Dataset (51.84 MB)
8 -fruits (18.96 MB)
9 -Checking Health of Dataset before Model Training (18.39 MB)
1 -Training Object Detection models Section Introduction (10.73 MB)
2 -Change Structure of Annotated dataset for model training (33.09 MB)
3 -Model Training Notebook and Uploading Dataset (17.23 MB)
4 -Importing Libraries and Loading Annotated Dataset (69.94 MB)
5 -Training Custom Object Detection Model (57.88 MB)
6 -Object Detection Model Evaluation Basics (19.4 MB)
7 -Testing Our Custom Object Detection Model (45.84 MB)
8 -Converting Object Detection Model Into Tensorflow Lite (19.35 MB)
9 -Improving Object Detection Models (21.01 MB)
1 -What is Flutter (16.03 MB)
2 -Section Introduction (15.76 MB)
1 -Install the Flutter SDK (83.8 MB)
2 -Install Android Studio (54.57 MB)
3 -Install and Setup XCode (52.72 MB)
4 -Creating A Flutter Project and Installing in IOS Simulator (48.57 MB)
5 -Install the Android Emulator (34.04 MB)
1 -Installing Flutter on Windows (41.88 MB)
2 -Installing Android Studio (55.51 MB)
3 -Creating Android Virtual Device (18.88 MB)
1 -What is Machine Learning (12.06 MB)
2 -Supervised Machine Learning (14.32 MB)
3 -Regression and Classification (8.92 MB)
4 -Unsupervised Machine Learning & Reinforcement Learning (18.38 MB)
5 -Deep Learning and Neural Network Introduction (21.1 MB)
6 -Neural Network Example (44.81 MB)
7 -Working of Neural Networks for Image Classification (20.8 MB)
8 -Basic Deep Learning Concepts (19.07 MB)
1 -Creating a new flutter project (92.61 MB)
2 -Adding libraries and loading regression models in Flutter (84.05 MB)
3 -Passing Input to regression model and getting output in Flutter (87.88 MB)
4 -Regression Models Integration in Flutter Overview (19.6 MB)
1 -Analyse trained fuel efficiency prediction model for Flutter (16.22 MB)
2 -Fuel Efficiency Predictor Apps (234.85 MB)
2 -Setup Starter Flutter Application for Fuel Efficiency Prediction (44.38 MB)
3 -What we have done so far (86.62 MB)
4 -Loading Tensorflow Lite model in Flutter for fuel efficiency prediction (47.39 MB)
5 -Normalizing user inputs in Flutter before passing it to our model (70.19 MB)
6 -Passing Input to our model and getting output in Flutter Application (66.57 MB)
7 -Testing Fuel Efficiency Prediction Flutter Application (32.45 MB)
8 -Fuel Efficiency Prediction Flutter Overview (38.35 MB)
1 -Analysing house price prediction tensorflow lite model (9.46 MB)
2 -House Price Prediction Apps (266.57 MB)
2 -Loading house price prediction model in Flutter (82.15 MB)
3 -Passing input to tensorflow lite model and getting output (95.2 MB)
4 -Testing house price prediction Flutter Application (35.95 MB)
1 -Creating a new Flutter Project and building GUI of ImagePicker Application (135.79 MB)
2 -Adding Libraries and doing Android & IOS configuration in Flutter (80.45 MB)
3 -Choosing Images From Gallery in Flutter (105.91 MB)
4 -Capturing Images using Camera in Flutter (39.67 MB)
5 -Testing ImagePicker Flutter Application (4.19 MB)
6 -ImagePicker in Flutter Overview (25.65 MB)
1 -Setting up Image Classification with Images Flutter Project (30.92 MB)
2 -Adding libraries and setting up Android & IOS (113.98 MB)
3 -Performing Image Classification in Flutter With Images (146.77 MB)
4 -Showing ML models results on Screen to the User in Flutter (58.23 MB)
5 -Image Labeling with Images in Flutter Overview (28.36 MB)
6 -Building GUI of Image Labeling with Images Flutter Application (134.88 MB)
7 -Making Image Labeling Results Look better in Flutter (45.85 MB)
1 -Adding Custom Trained Image Classification Model in Flutter (44.2 MB)
2 -Loading Tensorflow Lite Model in Flutter and Performing Inference (83.14 MB)
3 -FlutterCustomImageClassificationWithImages (1) (128.48 MB)
3 -Using Transfer Learning Trained Model in Flutter (26.97 MB)
1 -Creating new Flutter project and Adding library (68.43 MB)
2 -Displaying Live Camera Footage in Flutter (127.81 MB)
3 -Getting Frames of Camera Footage One by One in Flutter (55.69 MB)
4 -Camera Package Overview (24.49 MB)
1 -Setting up Real Time Image Labeling Project in Flutter (17.16 MB)
2 -Setting up Image Labeling Library for Android & IOS in Flutter (76.64 MB)
3 -Converting Camera Frames and Processing them one by one in Flutter (139.69 MB)
4 -Passing Frames on Image Classification model and Getting Results in Flutter (84.24 MB)
5 -Building GUI of Realtime Image Classification Flutter Application (144.18 MB)
6 -Showing Frame Image on Camera Footage in Flutter (93.22 MB)
1 -Adding Tensorflow Lite Model in Flutter Project (45.05 MB)
1 -RealtimeCustomImageClassificationFlutterComplete (1) (109.77 MB)
2 -Loading Tensorflow Lite Model in Flutter and Passing Input (82.79 MB)
3 -Testing Realtime Custom Image Classification Flutter App (9.59 MB)
4 -Using Transfer Learning Trained Tensorflow Lite Model in Flutter (17.75 MB)
5 -Testing Realtime Custom Image Classification Flutter App (3.85 MB)
1 -Section Introduction (28.93 MB)
2 -2024FlutterObjectDetectionImagesStarter (20.6 MB)
2 -Setting Up Object Detection in Flutter Project (59.26 MB)
3 -Making Configurations for Android & IOS to perform Object Detection in Flutter (85.08 MB)
4 -Creating Object Detector in Flutter (59.18 MB)
5 -Performing Object Detection In Flutter With images (64.56 MB)
6 -Drawing Rectangles Around Detected Objects in Flutter (114.08 MB)
7 -How Rectangles are being Drawn Around Detected Objects (79.69 MB)
8 -Using Custom Image Classifier With Object Detector In Flutter (103.34 MB)
9 -Testing Custom Object Detection Flutter Application (24.1 MB)
1 -Google Colab Introduction (58.51 MB)
2 -Python (1) (5.79 KB)
2 -Python Introduction & data types (31.59 MB)
3 -Python Numbers (21.09 MB)
4 -Python Strings (24.02 MB)
5 -Python Lists (59.25 MB)
6 -Python dictionary & tuples (28.43 MB)
7 -Python loops & conditional statements (40.09 MB)
8 -File handling in Python (39.25 MB)
1 -2024FlutterRealtimeObjectDetectionStarter (266.96 MB)
1 -Setting up realtime object detection flutter application (27.23 MB)
2 -Displaying live camera footage in Flutter and getting frames (96.48 MB)
3 -Performing object detection in flutter live camera footage (48.87 MB)
4 -Drawing rectangles around detected objects in realtime (69.84 MB)
5 -Testing Realtime Object Detection Application (26.13 MB)
6 -Using custom image classification model with object detection model (88.13 MB)
7 -Testing realtime object detection application with our custom models (17.66 MB)
8 -Object Detector Painter (76.65 MB)
9 -Realtime Object Detection in Flutter Overview (38 MB)
1 -Section Introduction (19.12 MB)
1 -Installing Android Studio (22.6 MB)
2 -Creating Android Emulator (22.2 MB)
1 -BasicExample (375.96 KB)
1 -Creating a new Android Studio Project and GUI of Application (54.71 MB)
2 -Adding Tensorflow Lite Library In Android & Loading Tensorflow Lite Model (62.9 MB)
3 -Passing Input to Tensorflow Lite Model in Android and Getting Output (67.57 MB)
1 -FuelEfficiencyPrediction (1021.22 KB)
1 -Setting up Android Application for fuel efficiency prediction (63.42 MB)
2 -Loading Tensorflow Lite models & performaning normalization in Android (86.76 MB)
3 -Passing input to Tensorflow Lite model in Android and getting output (33.42 MB)
4 -Testing fuel efficiency prediction android application (16.69 MB)
1 -House Price Prediction Android App (69.19 MB)
1 -HousePricePrediction (819.36 KB)
2 -Test the Android App (24.86 MB)
1 -Creating a new Android Studio Project and Building GUI of Android App (61.65 MB)
1 -imagepicker (20.57 MB)
2 -Choosing Images from Gallery in Android (50.64 MB)
3 -Capturing Images using Camera in Android (73.83 MB)
4 -File Provider Share Data Between Android Apps Securely (50.44 MB)
5 -Capturing Images in Android Overview (19.15 MB)
1 -4 Image Classification With Images (105.43 MB)
1 -Adding Tesnorflow Lite Model & Libraries in Android (58.79 MB)
10 -Improving GUI of Image Classification with Images Application (134.83 MB)
2 -Analyzing and loading Tesnorflow Lite Model in Android (40.79 MB)
3 -Passing Input to tflite model and getting output in Android (60.45 MB)
4 -Showing Results of Custom Image Classification Model on Screen in Android (51.9 MB)
5 -Loading Tensorflow Lite Model in Android (42.26 MB)
6 -Passing input to the Tesnorflow Lite model and Getting output (43.94 MB)
7 -How Tensorflow Lite Models return Results in Android (21.62 MB)
8 -Converts Model Output into Results in Android (94.19 MB)
9 -Using Transfer Learning Trained Model in Android (25.2 MB)
1 -Creating New Android Project and handling Camera Permission (76.15 MB)
1 -Realtime Camera Footage (458.08 KB)
2 -Displaying Live Camera Footage in Android with Camera2 API (121.91 MB)
3 -How we are displaying Camera in Android (84.34 MB)
4 -Getting Frames of Live Camera Footage as Bitmaps in Android (170.42 MB)
1 -Adding Models and Libraries in Android Studio Proect (81.9 MB)
1 -RealTimeImageClassification (38.86 MB)
2 -Loading Tensorflow Lite Models in Android and Passing Frames of Camera (70.36 MB)
3 -Showing Models results on Screen in Android (66.85 MB)
4 -Using Transfer Learning Trained Model in Android (32.99 MB)
5 -Setting Confidence Threshold in Android (5.5 MB)
6 -Working on GUI of Realtime Image Classification Android Application (102.14 MB)
1 -DataScience+Libraries (127.76 KB)
1 -Numpy Introduction (47.86 MB)
2 -Numpy Functions and Generating Random Values (29.74 MB)
3 -Numpy Operators (19.38 MB)
4 -Matrix Multiplications and Sorting in Numpy (19.25 MB)
5 -Pandas Introduction (37.77 MB)
6 -Loading CSV in pandas (21.25 MB)
7 -Handling Missing values in dataset with pandas (38.18 MB)
8 -Matplotlib & charts in python (32.17 MB)
9 -Dealing images with Matplotlib (28.33 MB)
1 -Object Detection Course Resources (563.74 MB)
1 -CustomObjectDetectionImagesKotlinStarter (6.17 MB)
1 -Importing Starter Android Kotlin App Code for Object Detection With Images (22.1 MB)
2 -Adding libraries for Performing Object Detection in Android Kotlin App (37.21 MB)
3 -Loading Object Detection Models in Android Kotlin App (110.24 MB)
4 -Passing Input Images to Object Detection Models and Getting Outputs in Android (65.45 MB)
5 -Getting Names, Confidence and Location of Detected Object In Android (127.34 MB)
6 -Drawing Rectangles Around Detected Objects In Android (90.2 MB)
7 -Drawing Names Of Detected Object On Images in Android Kotlin App (46.37 MB)
8 -Making Text and Rectangle Size Dynamic in Android Kotlin App (25.76 MB)
9 -Handling Rotation Of Camera Images In Android Kotlin Apps (24.57 MB)
1 -Setting up the Android Studio project (15.99 MB)
2 -Real Time Object Detection Android Kotlin Application Demo (21.44 MB)
3 -Displaying live camera footage inside Android Kotlin App (87.42 MB)
4 -Getting frames of live camera footage as bitmaps in Android Kotlin (82.07 MB)
5 -Performing object detection with frames of live camera footage in Android (59.23 MB)
6 -Drawing Rectangles Around Detected Objects in Realtime in Android Kotlin Apps (37.57 MB)
1 -Section Introduction (15.04 MB)
1 -Creating a new IOS SwiftUI project and the GUI of Swift Application (100.76 MB)
2 -Adding Tensorflow Lite Models in IOS Swift Application (66.82 MB)
3 -Loading Tensorflow Lite Models in IOS Swift Application (91.06 MB)
4 -Preparing Input for Tensorflow Lite Models and Passing it in IOS Swift App (84.87 MB)
5 -Getting Output from Tensorflow Lite model and showing it on IOS Swift App (51.91 MB)
6 -Tensorflow Lite Models Integration in IOS Swift App Overview (40.39 MB)
1 -FuelEfficiencyPrediction (156.24 KB)
1 -Setup Starter Swift IOS Application for Fuel Efficiency Prediction (51 MB)
2 -GUI of Fuel Efficiency Prediction Swift IOS Application (114.57 MB)
3 -Adding Tensorflow Lite Library in IOS Swift Application (44.79 MB)
4 -Loading Fuel Efficiency Prediction tflite model in IOS Swift Application (58.14 MB)
5 -Preparing Input for Tensorflow Lite Model in Swift IOS Application (110.61 MB)
6 -Passing input to tflite model and getting output in IOS Swift Application (91.59 MB)
7 -Normalizing Input for Tensorflow Lite Models in IOS Swift Application (129.22 MB)
8 -Important things to remember while using Tensorflow Lite Models in IOS Apps (26.25 MB)
1 -HousePricePrediction (442.66 KB)
1 -Setting Up House Price Prediction IOS Swift Application (49.1 MB)
2 -GUI of House Price Prediction IOS Swift Application With SwiftUI (40.42 MB)
3 -Adding Tensorflow Lite Library in IOS Swift Application (42.32 MB)
4 -Loading Tensorflow Lite Model in IOS Swift Application (47.02 MB)
5 -Passing Input to Tensorflow Lite Model and Get prediction for House Price (103.29 MB)
6 -House Price Prediction Application Testing (28.77 MB)
1 -Tensorflow (1) (5.53 KB)
1 -Tensorflow Introduction Variables & Constants (55.36 MB)
2 -Shapes & Ranks of Tensors (62.15 MB)
3 -Matrix Multiplication & Ragged Tensors (41.47 MB)
4 -Tensorflow Operations (18.76 MB)
5 -Generating Random Values in Tensorflow (56.94 MB)
6 -Tensorflow Checkpoints (30.09 MB)
7 -Tensorflow Lite Introduction & Advantages (19.42 MB)
1 -Basic Example (5.9 KB)
1 -Train a simple regression model (86.74 MB)
2 -Testing model and converting it to a tflite(Tensorflow lite) format (27.34 MB)
3 -Model training for overview (17.64 MB)
1 -Section Introduction (7.69 MB)
10 -Testing Trained Model and converting it to Tensorflow Lite Model (45.96 MB)
11 -Training Fuel Efficiency Prediction Model Overview (50.77 MB)
2 -Data Collection Finding Fuel Efficiency Prediction Dataset (49.47 MB)
2 -FuelEfficiencyPredictor (47.21 KB)
3 -Loading Dataset in Python for Model Training (78.15 MB)
4 -Handling missing Values in Fuel Efficiency Prediction Dataset (33.34 MB)
5 -Handling Categorical Columns in Dataset for Model Training (46.62 MB)
6 -Training and testing datasets (48.11 MB)
7 -Normalization Introduction (12.25 MB)
8 -Dataset Normalization (27.97 MB)
9 -Training Fuel Efficiency Prediction Model in Tensorflow (73.2 MB)
1 -Section Introduction (6.24 MB)
2 -Getting dataset for training house price prediction model (39.54 MB)
2 -HousePricePrediction (416.91 KB)
3 -Loading dataset for training tflite model (83.1 MB)
4 -Training & Evaluating house price prediction model (78.19 MB)
5 -Retraining House Price Prediction Model (46.87 MB)
1 -Image Classification Introduction & Applications (26.88 MB)]
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Code:
https://ddownload.com/2k186v6aargi/Udemy_On-Device_Machine_Learning_Train_Models_And_Deploy_in_Mobile_.part1.rar
https://ddownload.com/f1u1cm8phmrl/Udemy_On-Device_Machine_Learning_Train_Models_And_Deploy_in_Mobile_.part2.rar
https://ddownload.com/0oesycqxxo84/Udemy_On-Device_Machine_Learning_Train_Models_And_Deploy_in_Mobile_.part3.rar
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https://ddownload.com/hn3m5hwxpcp5/Udemy_On-Device_Machine_Learning_Train_Models_And_Deploy_in_Mobile_.part5.rar
https://ddownload.com/e8zeywdup7oz/Udemy_On-Device_Machine_Learning_Train_Models_And_Deploy_in_Mobile_.part6.rar
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https://ddownload.com/uz0s13vkofto/Udemy_On-Device_Machine_Learning_Train_Models_And_Deploy_in_Mobile_.part8.rar
Code:
https://rapidgator.net/file/843cc37f340958557188f7175b7e26fc/Udemy_On-Device_Machine_Learning_Train_Models_And_Deploy_in_Mobile_.part1.rar
https://rapidgator.net/file/8a1ce17acb48f9c1fd8e2db5ebb1304c/Udemy_On-Device_Machine_Learning_Train_Models_And_Deploy_in_Mobile_.part2.rar
https://rapidgator.net/file/e63bce3c0f0fd36562c1e4261ced7513/Udemy_On-Device_Machine_Learning_Train_Models_And_Deploy_in_Mobile_.part3.rar
https://rapidgator.net/file/2a97431dd62a7a9f093f6165d6ff3858/Udemy_On-Device_Machine_Learning_Train_Models_And_Deploy_in_Mobile_.part4.rar
https://rapidgator.net/file/c29ef37375080dca5f5fe97259219592/Udemy_On-Device_Machine_Learning_Train_Models_And_Deploy_in_Mobile_.part5.rar
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https://rapidgator.net/file/cf68686ab33a12b8eda2724df3a51a59/Udemy_On-Device_Machine_Learning_Train_Models_And_Deploy_in_Mobile_.part7.rar
https://rapidgator.net/file/1e950925007de1b769e78314508f8770/Udemy_On-Device_Machine_Learning_Train_Models_And_Deploy_in_Mobile_.part8.rarTurboBit
Code:
https://turbobit.net/k8j0h950v4ty/Udemy_On-Device_Machine_Learning_Train_Models_And_Deploy_in_Mobile_.part1.rar.html
https://turbobit.net/9875ywmqkdkv/Udemy_On-Device_Machine_Learning_Train_Models_And_Deploy_in_Mobile_.part2.rar.html
https://turbobit.net/dj8lvr7751n6/Udemy_On-Device_Machine_Learning_Train_Models_And_Deploy_in_Mobile_.part3.rar.html
https://turbobit.net/uwnwu9e562uc/Udemy_On-Device_Machine_Learning_Train_Models_And_Deploy_in_Mobile_.part4.rar.html
https://turbobit.net/l1unniukjdfk/Udemy_On-Device_Machine_Learning_Train_Models_And_Deploy_in_Mobile_.part5.rar.html
https://turbobit.net/fbfowhxsd0kp/Udemy_On-Device_Machine_Learning_Train_Models_And_Deploy_in_Mobile_.part6.rar.html
https://turbobit.net/ltmlcbzasj3w/Udemy_On-Device_Machine_Learning_Train_Models_And_Deploy_in_Mobile_.part7.rar.html
https://turbobit.net/uqo5c3jray8u/Udemy_On-Device_Machine_Learning_Train_Models_And_Deploy_in_Mobile_.part8.rar.html
