Transfer Learning in Deep Learning Using Tensorflow 2.0

TensorFlow is one of the top deep learning libraries today. A previously published guide, Transfer Learning with ResNet, explored the Pytorch framework. This guide will take on transfer learning (TL) using the TensorFlow library. The TensorFlow framework is smooth and uncomplicated for building models.

In this guide, you will learn how to use a pre-trained MobileNet model using TensorFlow Hub (TFHub), a library for the publication, discovery, and consumption of reusable parts of machine learning models.

You’ll use a dataset from Kaggle to predict whether images depict aliens or predators. Click here to download the dataset.

#tensorflow #deep-learning

What is GEEK

Buddha Community

Top Deep Learning Development Services | Hire Deep Learning Developer

View more: https://www.inexture.com/services/deep-learning-development/

We at Inexture, strategically work on every project we are associated with. We propose a robust set of AI, ML, and DL consulting services. Our virtuoso team of data scientists and developers meticulously work on every project and add a personalized touch to it. Because we keep our clientele aware of everything being done associated with their project so there’s a sense of transparency being maintained. Leverage our services for your next AI project for end-to-end optimum services.

#deep learning development #deep learning framework #deep learning expert #deep learning ai #deep learning services

Google Reveals "What is being Transferred” in Transfer Learning

Recently, researchers from Google proposed the solution of a very fundamental question in the machine learning community — What is being transferred in Transfer Learning? They explained various tools and analyses to address the fundamental question.

The ability to transfer the domain knowledge of one machine in which it is trained on to another where the data is usually scarce is one of the desired capabilities for machines. Researchers around the globe have been using transfer learning in various deep learning applications, including object detection, image classification, medical imaging tasks, among others.

#developers corner #learn transfer learning #machine learning #transfer learning #transfer learning methods #transfer learning resources

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

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