8.2 GB | 00:10:58 | mp4 | 1280X720  | 16:9
Genre:eLearning |Language:English

Files Included :
1 -Introduction  (18.87 MB)
1 -Section Introduction  (9.44 MB)
10 -Testing fuel efficiency prediction model and converting it to a tflite format  (45.93 MB)
11 -Fuel Efficiency Model Training Overview  (50.83 MB)
2 -Getting datasets for training regression models for Flutter  (49.43 MB)
3 -Loading dataset in python with pandas  (78.13 MB)
4 -Handling Missing Values in Dataset  (33.31 MB)
5 -One Hot Encoding Handling categorical columns  (46.66 MB)
6 -Training and testing datasets  (48.15 MB)
7 -Normalization Introduction  (11.91 MB)
8 -Normalization Bringing all columns to a common scale  (27.97 MB)
9 -Training a fuel efficiency prediction model for Flutter  (73.39 MB)
1 -Analyse trained fuel efficiency prediction model for Flutter  (16.22 MB)
2 -Setup Starter Flutter Application for Fuel Efficiency Prediction  (44.36 MB)
3 -What we have done so far  (86.64 MB)
4 -Loading Tensorflow Lite model in Flutter for fuel efficiency prediction  (47.36 MB)
5 -Normalizing user inputs in Flutter before passing it to our model  (70.2 MB)
6 -Passing Input to our model and getting output in Flutter Application  (66.58 MB)
7 -Testing Fuel Efficiency Prediction Flutter Application  (32.44 MB)
8 -Fuel Efficiency Prediction Flutter Overview  (38.34 MB)
1 -Section Introduction  (6.75 MB)
2 -Getting house price prediction dataset  (39.51 MB)
3 -Load dataset for training house price prediction regression model for Flutter  (83.13 MB)
4 -Training & evaluating house price prediction model for Flutter  (78.16 MB)
5 -Retraining price prediction model  (46.89 MB)
1 -Analysing house price prediction tensorflow lite model  (9.46 MB)
2 -Loading house price prediction model in Flutter  (82.11 MB)
3 -Passing input to tensorflow lite model and getting output  (95.27 MB)
4 -Testing house price prediction Flutter Application  (35.94 MB)
1 -Image Classification Introduction  (20.74 MB)
10 -Attaching Metadata With a Trained Tensorflow Lite Model  (76.52 MB)
2 -Object Detection Introduction  (42.2 MB)
3 -Section Introduction  (5.59 MB)
4 -Dataset Collection Introduction  (13.29 MB)
5 -Downloading Dataset for Training our first Image Classification Model  (56.51 MB)
6 -Training Our First Custom Image Classification Model for Flutter  (39.69 MB)
7 -Testing Our Own Trained Model and Converting it to tflite format  (33.01 MB)
8 -Hyperparameter tuning Improving Model Accuracy  (29.48 MB)
9 -Google Colab Introduction  (46.78 MB)
1 -Section Introduction  (8.92 MB)
2 -Uploading dataset on drive for model training  (26.69 MB)
3 -Uploading model training code and importing libraries in Colab  (49.36 MB)
4 -Loading dataset in python and doing train, test & split  (53.35 MB)
5 -Training Image Classification Model using Transfer Learning  (82.19 MB)
6 -Testing Model and converting it to tflite format  (18.74 MB)
7 -Hyperparameter tuning Improving model accuracy  (29.99 MB)
8 -Training EfficientNet Model using transfer learning for Flutter  (43.14 MB)
9 -Training Custom Models for Flutter Applications Overview  (14.17 MB)
1 -Creating a new Flutter Project and building GUI of ImagePicker Application  (76.08 MB)
2 -Adding Libraries and doing Android & IOS configuration in Flutter  (47.79 MB)
3 -Choosing Images From Gallery in Flutter  (65.58 MB)
4 -Capturing Images using Camera in Flutter  (26.04 MB)
5 -Testing ImagePicker Flutter Application  (4.23 MB)
6 -ImagePicker in Flutter Overview  (18.73 MB)
1 -Section Introduction  (18.52 MB)
2 -Setting up Image Classification with Images Flutter Project  (70.11 MB)
3 -Adding libraries and setting up Android & IOS  (81.04 MB)
4 -Performing Image Classification in Flutter With Images  (100.82 MB)
5 -Using our custom trained image classification models in Flutter with Images  (131.81 MB)
6 -Using our trained MobileNet model in Flutter  (23.08 MB)
7 -Android Additional Step  (12.49 MB)
8 -Image Classification in Flutter with Images Overview  (28.13 MB)
1 -Creating a new Flutter project and setting up libraries  (59.5 MB)
2 -Displaying live camera footage in Flutter for Android and IOS  (92.25 MB)
3 -Realtime Flutter Overview  (30.55 MB)
1 -Importing starter application for realtime Image Classification in Flutter  (81.97 MB)
2 -Android & IOS configurations for realtime Image Classification with Flutter  (41.27 MB)
3 -Converting frames of live camera footage into Inputimage  (82.78 MB)
4 -Processing frames of live camera footage in realtime in Flutter  (34.76 MB)
5 -Testing Realtime Image Classification Flutter Application  (14.38 MB)
6 -Using our own trained Image Classification model in Flutter with live feed  (79.76 MB)
7 -Testing Realtime Custom Image Classification Application  (24.78 MB)
8 -Realtime Image Classification in Flutter Overview  (40.62 MB)
1 -What is Machine Learning  (12.06 MB)
2 -Supervised Machine Learning  (14.33 MB)
3 -Regression and Classification  (8.92 MB)
4 -Unsupervised Machine Learning & Reinforcement Learning  (18.36 MB)
5 -Deep Learning and Neural Network Introduction  (21.1 MB)
6 -Neural Network Example  (44.82 MB)
7 -Working of Neural Networks for Image Classification  (20.8 MB)
8 -Basic Deep Learning Concepts  (19.08 MB)
1 -Section Introduction  (27.63 MB)
2 -Setting Up Object Detection in Flutter Project  (57.86 MB)
3 -Making Configurations for Android & IOS to perform Object Detection in Flutter  (81.94 MB)
4 -Creating Object Detector in Flutter  (57.35 MB)
5 -Performing Object Detection In Flutter With images  (62.35 MB)
6 -Drawing Rectangles Around Detected Objects in Flutter  (110.11 MB)
7 -How Rectangles are being Drawn Around Detected Objects  (76.99 MB)
8 -Using Custom Image Classifier With Object Detector In Flutter  (99.62 MB)
9 -Testing Custom Object Detection Flutter Application  (23.55 MB)
1 -Setting up realtime object detection flutter application  (26.34 MB)
2 -Displaying live camera footage in Flutter and getting frames  (93.17 MB)
3 -Performing object detection in flutter live camera footage  (47.28 MB)
4 -Drawing rectangles around detected objects in realtime  (67.97 MB)
5 -Testing Realtime Object Detection Application  (25.48 MB)
6 -Using custom image classification model with object detection model  (85.23 MB)
7 -Testing realtime object detection application with our custom models  (17.51 MB)
8 -Object Detector Painter  (73.57 MB)
9 -Realtime Object Detection in Flutter Overview  (36.98 MB)
1 -Google Colab Introduction  (58.51 MB)
2 -Python Introduction & data types  (31.57 MB)
3 -Python Numbers  (21.06 MB)
4 -Python Strings  (24 MB)
5 -Python Lists  (59.21 MB)
6 -Python dictionary & tuples  (28.42 MB)
7 -Python loops & conditional statements  (40.03 MB)
8 -File handling in Python  (39.23 MB)
1 -Numpy Introduction  (47.87 MB)
2 -Numpy Functions and Generating Random Values  (29.73 MB)
3 -Numpy Operators  (19.41 MB)
4 -Matrix Multiplications and Sorting in Numpy  (19.3 MB)
5 -Pandas Introduction  (37.77 MB)
6 -Loading CSV in pandas  (21.25 MB)
7 -Handling Missing values in dataset with pandas  (38.17 MB)
8 -Matplotlib & charts in python  (32.21 MB)
9 -Dealing images with Matplotlib  (28.3 MB)
1 -Tensorflow Introduction  Variables & Constants  (55.44 MB)
2 -Shapes & Ranks of Tensors  (62.14 MB)
3 -Matrix Multiplication & Ragged Tensors  (41.48 MB)
4 -Tensorflow Operations  (18.76 MB)
5 -Generating Random Values in Tensorflow  (57.01 MB)
6 -Tensorflow Checkpoints  (30.08 MB)
7 -Tensorflow Lite Introduction & Advantages  (19.41 MB)
1 -Section Introduction  (8.28 MB)
2 -Train a simple regression model for Flutter  (86.71 MB)
3 -Testing model and converting it to a tflite(Tensorflow lite) format for Flutter  (27.32 MB)
4 -Model training for flutter app development overview  (17.6 MB)
1 -Install the Flutter SDK  (83.85 MB)
2 -Install Android Studio  (54.63 MB)
3 -Install and Setup XCode  (52.7 MB)
4 -Creating A Flutter Project and Installing in IOS Simulator  (48.55 MB)
5 -Install the Android Emulator  (34.05 MB)
1 -Installing Flutter on Windows  (41.9 MB)
2 -Installing Android Studio  (55.47 MB)
3 -Creating Android Virtual Device  (18.88 MB)
1 -Creating a new flutter project  (92.59 MB)
2 -Adding libraries and loading regression models in Flutter  (83.96 MB)
3 -Passing Input to regression model and getting output in Flutter  (88 MB)
4 -Regression Models Integration in Flutter Overview  (19.64 MB)]
Screenshot

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