Flutter TfLite Fruits Detection App – Mobile iOS & Android Ai Machine Learning Full Course 2022
Video by Coding Cafe via YouTube
Source
This is video tutorial#05 of fruit detection using image processing app series using flutter & tflite machine learning models course.
Build 10+ Flutter Ai Apps, Join this Complete Course Now: https://www.udemy.com/course/getx-flutter-25-ai-machine-learning-course-with-null-safety/?referralCode=61105F7169D9BA3A8D25
This is complete flutter null safety mobile android & ios ai machine learning and deep learning applications development course step by step: https://www.udemy.com/course/getx-flutter-25-ai-machine-learning-course-with-null-safety/?referralCode=61105F7169D9BA3A8D25
Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision.
Machine learning is the study of computer algorithms that can improve automatically through experience and by the use of data. It is seen as a part of artificial intelligence. Machine learning (ML) is a type of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. Machine learning algorithms use historical data as input to predict new output values.
Kaggle, a subsidiary of Google LLC, is an online community of data scientists and machine learning practitioners. Kaggle offers a no-setup, customizable, Jupyter Notebooks environment. Access free GPUs and a huge repository of community published data & code. Kaggle allows users to find and publish data sets, explore and build models in a web-based data-science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges. Despite the differences between Kaggle and typical data science, Kaggle can still be a great learning tool for beginners. Each competition is self-contained. You don’t need to scope your own project and collect data, which frees you up to focus on other skills.
Deep learning is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised.