Introducing TensorFlow 2.0

With TensorFlow 2.0, we are consolidating our APIs and integrating Keras across the TensorFlow ecosystem. In this talk, we give an overview of what to expect with TensorFlow High Level APIs in 2.0.

See the revamped dev site → https://www.tensorflow.org/

Learn More

☞ Complete Guide to TensorFlow for Deep Learning with Python

☞ Tensorflow Bootcamp For Data Science in Python

☞ Python for Data Science and Machine Learning Bootcamp

☞ Introducing TensorFlow.js: Machine Learning in Javascript

☞ Machine Learning in JavaScript with TensorFlow.js

☞ Introducing TensorFlow Datasets

☞ Variational Autoencoders with Tensorflow Probability Layers

☞ Introducing TensorFlow Federated

☞ How To Install and Use TensorFlow on Ubuntu 18.04?

#tensorflow #python #machine-learning

What is GEEK

Buddha Community

Spring Integration AWS 2.5.1 and Spring Cloud Stream Kinesis Binder 2.2.0 Available

Dear Spring Community,

Today it’s my pleasure to announce releases of Spring Integration for Amazon Web Services extension versions 2.5.1 and Spring Cloud Stream Binder for AWS Kinesis 2.2.0.

These releases can be downloaded from Maven Central:

compile 'org.springframework.integration:spring-integration-aws:2.5.1'
COPY

If you don’t use Kinesis Binder. Or via Binder dependency:

compile 'org.springframework.cloud:spring-cloud-stream-binder-kinesis:2.2.0'
COPY

Spring Integration for AWS extension of 2.5.1 has some minor bug fixes after the previous 2.5.0 announcement.

The Spring Cloud Stream Binder for AWS Kinesis 2.2.0 is the first release in the project generation which is based on a new independent Spring Cloud for AWS artifact. It also was upgraded to the latest Spring Cloud 2020.0.3 and has some other bug fixes and improvements.

#[object object] #aws 2.5.1 #spring cloud #spring cloud stream kinesis binder 2.2.0 available #spring integration aws 2.5.1 and spring cloud stream kinesis binder 2.2.0 available

Google Announces TensorFlow Quantum 0.5.0: Expected Features & Updates

Google is celebrating the first anniversary of TensorFlow Quantum (TFQ), a library for rapid prototyping of hybrid quantum-classical ML models. TFQ is regarded as a tipping point for developments in hybrid quantum and classic machine learning models the company has been pushing for years.

#developers corner #google tensorflow quantum #tensorflow quantum #tensorflow quantum 0.5.0

Transfer Learning on Images with Tensorflow 2 – Predictive Hacks

In this tutorial, we will provide you an example of how you can build a powerful neural network model to classify images of **cats **and dogs using transfer learning by considering as base model a pre-trained model trained on ImageNet and then we will train additional new layers for our cats and dogs classification model.

The Data

We will work with a sample of 600 images from the Dogs vs Cats dataset, which was used for a 2013 Kaggle competition.

#python #transfer learning #tensorflow #images #transfer learning on images with tensorflow #tensorflow 2

DEEP LEARNING WITH TENSORFLOW 2.0 Machine Learning framework

TensorFlow is the Machine Learning framework by Google. It is primarily used for Deep Learning related tasks and seamlessly integrates with other Google APIs as well. TensorFlow is clearly one of the most used libraries for Deep Learning in the industry right now and totally worth learning!

By the end of this tutorial, you will have knowledge of the following.

• What is TensorFlow?
• What is new in TF 2.0?
• TensorFlow vs Keras
• Installing TensorFlow
• Image Classifier in TensorFlow

What Is TensorFlow?

TensorFlow started as an Open-Source Deep Learning library by Google and now is a complete framework for end to end Machine Learning processes. You might be wondering why Google chose this name and what does “Tensor” mean.

#artificial intelligence #deep learning #deep learning with tensorflow 2.0 #tensorflow2.0

DEEP LEARNING WITH TENSORFLOW 2.0 Machine Learning framework

TensorFlow is the Machine Learning framework by Google. It is primarily used for Deep Learning related tasks and seamlessly integrates with other Google APIs as well. TensorFlow is clearly one of the most used libraries for Deep Learning in the industry right now and totally worth learning!

By the end of this tutorial, you will have knowledge of the following.

• What is TensorFlow?
• What is new in TF 2.0?
• TensorFlow vs Keras
• Installing TensorFlow
• Image Classifier in TensorFlow

#artificial intelligence #deep learning #deep learning with tensorflow 2.0 #tensorflow2.0