Adding on-device recommendations to your app using TensorFlow and Firebase
Adding on-device recommendations to your app using TensorFlow and Firebase
|
Yükleniyor...
 Hızlı erişim için Tubidy'yi favorilerinize ekleyin.
Lütfen bekleyiniz...
Type
Size

 İlgili Videolar

Adding on-device recommendations to your app using TensorFlow and Firebase

Adding on-device recommendations to your app using TensorFlow and Firebase

|
TensorFlow Lite Demo apps - 14: On-device Recommendation

TensorFlow Lite Demo apps - 14: On-device Recommendation

|
Introducing Firebase Machine Learning

Introducing Firebase Machine Learning

|
Building an on-device recommendation model with TFLite

Building an on-device recommendation model with TFLite

|
Level up your apps with Firebase Extensions and ML | Demo

Level up your apps with Firebase Extensions and ML | Demo

|
Personalizing your app in real-time: Powered by Firebase and ML

Personalizing your app in real-time: Powered by Firebase and ML

|
Deploy a custom Machine Learning model to mobile

Deploy a custom Machine Learning model to mobile

|
How do I apply TensorFlow.js to real-world applications?

How do I apply TensorFlow.js to real-world applications?

|
TensorFlow in 100 Seconds

TensorFlow in 100 Seconds

|
Machine Learning for Android Devs: TensorFlow Lite Item to Item Recommender System without ML Kit

Machine Learning for Android Devs: TensorFlow Lite Item to Item Recommender System without ML Kit

|
Uploading Firebase ML Kit Custom Model

Uploading Firebase ML Kit Custom Model

|
Movie Recommendation App with TensorFlow Lite

Movie Recommendation App with TensorFlow Lite

|
Adam Koch: ML Kit – Easily adding ML smarts to your mobile apps

Adam Koch: ML Kit – Easily adding ML smarts to your mobile apps

|
Not Har Gow: Using Custom Models with ML Kit by Eric Fung

Not Har Gow: Using Custom Models with ML Kit by Eric Fung

|
Firebase Smart Reply

Firebase Smart Reply

|
Simplified Machine Learning on mobile, browsers, and edge devices with on-device ML

Simplified Machine Learning on mobile, browsers, and edge devices with on-device ML

|
App to 60 - Using Firebase on Your Existing App (GDD Europe '17)

App to 60 - Using Firebase on Your Existing App (GDD Europe '17)

|
3. Recommendation Engine End to End - Tensorflow.js Feasibility Testing To Build Recommendation AI

3. Recommendation Engine End to End - Tensorflow.js Feasibility Testing To Build Recommendation AI

|
Dealing with lots of data in Firebase for a recommender system

Dealing with lots of data in Firebase for a recommender system

|
Superpower your Android Apps with ML: Android 11 with Rishit Dagli

Superpower your Android Apps with ML: Android 11 with Rishit Dagli

|
Copyright. All rights reserved © 2025
Rosebank, Johannesburg, South Africa

Favorilere Ekle