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Keras is a high-level library used with TensorFlow in Python. It is used to create deep learning and neural network models. The purpose of this library is to allow developers to build machine learning...

Keras: Everything you need to Know

Python in Plain English

Keras the most powerful Python Library for creating Neural Networks with TensorFlow and custom architecture Continue reading on Python in Plain English

Your First Deep Learning Project in Python with Keras Step-By-Step

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Last Updated on June 20, 2022 Keras is a powerful and easy-to-use free open source Python library for developing and evaluating deep learning models. It is part of the TensorFlow library and allows yo...

Classification with Keras

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Hello again, in my article today I will comment on a simple application with the use of other auxiliary libraries, especially the Keras library that can work on a Tensorflow. As an IDE, I will use…

Keras data generators and how to use them

Towards Data Science

You probably encountered a situation where you try to load a dataset but there is not enough memory in your machine. As the field of machine learning progresses, this problem becomes more and more…

Deep Learning Implementation with Keras and Tensorflow

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Keras is an open-source software library that provides a Python interface for artificial neural networks. Keras acts as an interface for the TensorFlow library. Keras was developed with a focus on…

Keras for Beginners

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A beginner-friendly series on using Keras to build, train, and evaluate Neural Networks in Python.

How to Load, Convert, and Save Images With the Keras API

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Last Updated on July 5, 2019 The Keras deep learning library provides a sophisticated API for loading, preparing, and augmenting image data. Also included in the API are some undocumented functions th...

Getting Familiar with Keras

Towards Data Science

Neural networks are computing systems loosely inspired by brain connectivity. In short, neural networks make a series of transformations to input, the results of which are used as features during…

Building Models with Keras

Towards Data Science

Keras is a high-level API for building neural networks in python. The API supports sequential neural networks, recurrent neural networks, and convolutional neural networks. It also allows for easy…

How to predict an image with Keras?

Towards Data Science

Keep in mind that before feeding any image to Keras, we need to convert it to a standard format since pre-trained models expect the input to be of a specific size. In this case, we need to resize our…...

How to Convert Your Keras Model to ONNX

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I love Keras for its simplicity. With about 10 minutes, I can build a deep learning model with its sequential or functional API with elegant code. However, Keras always loads its model in a very slow…...

Introduction to TensorFlow with Keras API

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Keras is a high-level Deep Learning API(Application Programming Interface) that allows us to easily build, train, evaluate, and execute all sorts of neural networks. What is does is abstract away the…...

KERAS : Under the Hood

Towards Data Science

Getting started with deep learning has become very simple and convenient, all thanks to wonderful duo of keras and tensorflow. You just need to do some imports, define some layers and bingo, you have…...

9 Ways to Get Help with Deep Learning in Keras

Machine Learning Mastery

Last Updated on August 19, 2019 Keras is a Python deep learning library that can use the efficient Theano or TensorFlow symbolic math libraries as a backend. Keras is so easy to use that you can devel...

Keras model to Frozen Model

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One of the most asked questions in Stackoverflow or Github repository on Keras is the model conversion. For quick testing and the easy availability of the pre-trained model for image classifiers…

How to Save and Load Deep Learning Models with Keras?

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Learn how to use ModelCheckpoint callback Image by Freepik Training deep learning models is a time-consuming process. You can save model progress during and after training. So, you can resume the tra...

Walkthrough: Getting started with Keras, using Kaggle

Towards Data Science

If you’re getting started in the machine learning world (and let’s be real here, who isn’t?), the tooling seems to just keep getting better and better. Keras has been a key tool for some time, and…

Google’s USE in Keras

Towards Data Science

This is a little video I put together on how to use Google’s Universal Sentence Encoder within a Keras model. In this video, we train a model to differentiate between real and spam text messages…

Binary Classification Tutorial with the Keras Deep Learning Library

Machine Learning Mastery

Last Updated on July 7, 2022 Keras is a Python library for deep learning that wraps the efficient numerical libraries TensorFlow and Theano. Keras allows you to quickly and simply design and train neu...

Keras 3.0 Tutorial: End-to-End Deep Learning Project Guide

Towards Data Science

Introduction Even though I started using Pytorch a while ago, I still miss the concise code style of Keras and the good old days when you could implement a neural network model in just a few lines of ...

How to Use the Keras Functional API

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A practical guide on the Keras Functional API for building complex deep learning models Freepik Keras is a popular high-level deep learning framework that provides a user-friendly interface to build ...

Step-by-Step TensorFlow / Keras

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My purpose on this is to start with mathematical background for convolution before implementing the Convolutional Neural Network Model with Keras. Algorithm 1) Use positional — inverse of kernel…

Getting Started with Datasets in Keras

Towards Data Science

Keras is an open-source python library for neural networks. It enables easy implementation and experimentation of a variety of neural network architectures. In addition to providing many of the…