Learn how to use TensorFlow Lite. TensorFlow Lite is an open source deep learning framework for on-device inference.
đť Code:
âď¸ Course from Bhavesh Bhatt. Check out his channel:
âď¸ Course Contents âď¸
(0:00:00) Introduction
(0:00:20) Why do we need TensorFlow Lite?
(0:04:10) What is Edge Computing?
(0:05:06) Why is Edge Computing gaining popularity?
(0:08:30) Challenges in deploying models on Edge devices
(0:09:27) What is TensorFlow Lite or TFLite?
(0:10:06) TensorFlow Lite Workflow
(0:13:30) Creating a TensorFlow or Keras model
(0:32:54) Converting a TensorFlow or Keras model to TFLite
(0:36:08) Validating the TFLite model performance
(0:46:08) What is Quantization?
(0:47:35) Compressing the TFLite model further
(0:51:55) Compressing the TFLite model even further
(0:55:08) Validating the most compress
1 view
4
1
8 months ago 00:19:33 1
Ml android app | image recognition android app | machine learning | deploy ml android
2 years ago 00:24:01 1
Build your own Alexa with the ESP32 and TensorFlow Lite
2 years ago 00:05:02 1
Top 5 Artificial Intelligence Tools for Mobile App Development
2 years ago 00:09:53 1
AI Data Glove: Somatic
3 years ago 00:51:33 2
#100 Embedded Machine Learning on Edge Devices(with Daniel Situnayake)
3 years ago 00:09:32 3
Use Machine Learning on a Raspberry Pi for object or face detection, pose estimation, and more!
3 years ago 00:06:10 4
Build a board game app with policy gradient (Reinforcement learning with TensorFlow Agents)
3 years ago 00:56:12 6
tinyML Talks: CFU Playground: Customize Your ML Processor for Your Specific TinyML Model
3 years ago 01:48:33 23
Fast API Machine Learning Project Tutorial + Free Deployment | TensorFlow Lite | Heroku
3 years ago 00:10:09 3
Make object detection faster by using Coral
3 years ago 00:06:56 2
Choose an object detection model architecture for Raspberry Pi
3 years ago 00:12:10 3
Train a custom object detection model using your data
3 years ago 00:59:21 1
TensorFlow Lite for Edge Devices - Tutorial
3 years ago 00:14:44 3
Simplified Machine Learning on mobile, browsers, and edge devices with on-device ML
3 years ago 00:53:29 1
Pete Warden â Practical Applications of TinyML
3 years ago 00:27:52 1
An Efficient Implementation of TensorFlow Lite for RISC-V Vectors - Mostafa Hagog, SiFive
3 years ago 00:37:02 5
Intro to On Device Machine Learning
4 years ago 00:09:35 26
Deep learning project end to end | Potato Disease Classification Using CNN - 1 : Problem Statement
4 years ago 00:01:00 1
JPâs Product Pick of the Week BrainCraft HAT #adafruit @adafruit @johnedgarpark #machinelearning
4 years ago 00:51:55 11
Embedded deep learning deployment. Demystified.
4 years ago 00:54:04 1
Machine Learning with TensorFlow Lite Micro on Zephyr