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Learn Keras and Tensorflow

At Learnopencv.com, we have adopted a mission of spreading awareness and educate a global workforce on Artificial Intelligence. Taking a step further in that direction, we have started creating tutorials for getting started in Deep Learning with Keras. We hope that this will be helpful for people who want to get started in Deep Learning

Keras for Beginners

We have created a series of tutorials for absolute beginners to get started with Keras and TensorFlow. There are lots of tutorials on the Keras website and we have tried to write these tutorials in such a way that there is minimum overlap with those tutorials.

Here is a list of tutorials in this series:

Neural Networks : A 30,000 Feet View for Beginnerss

In this post we will provide an overview of Neural Neworks for absolute beginners in the field of Machine Learning and Deep Learnig. Check out the full tutorial

Deep learning using Keras – The Basics

This post focuses on a brief introduction of Keras. Check out the full tutorial

Understanding Feedforward Neural Networks

In this article, we will learn about feedforward Neural Networks, also known as Deep feedforward Networks or Multi-layer Perceptrons. Check out the full tutorial

Image Classification using Feedforward Neural Network in Keras

In this article, we will learn how to implement a Feedforward Neural Network in Keras. Check out the full tutorial

Image Classification using Convolutional Neural Networks in Keras

In this tutorial, we will learn the basics of Convolutional Neural Networks ( CNNs ) and how to use them for an Image Classification task. Check out the full tutorial

Understanding Autoencoders using Tensorflow (Python)

In this article, we will learn about autoencoders and show a practical implementation of Denoising Autoencoder on the MNIST handwritten digits dataset. Check out the full tutorial

Keras Tutorial : Using pre-trained Imagenet models

In this post we will learn how to use pre-trained models trained on large datasets like ILSVRC and how to use them for a different task than it was trained on. Check out the full tutorial

Keras Tutorial: Transfer Learning using pre-trained models

In this tutorial, we will discuss how to use pre-trained Imagenet models as a Feature Extractor and train a new model for a different classification task. Check out the full tutorial

Keras Tutorial : Fine-tuning using pre-trained models

In this tutorial, we will learn how to fine-tune a pre-trained model for a different task than it was originally trained for Check out the full tutorial

About

I am an entrepreneur with a love for Computer Vision and Machine Learning with a dozen years of experience (and a Ph.D.) in the field.

In 2007, right after finishing my Ph.D., I co-founded TAAZ Inc. with my advisor Dr. David Kriegman and Kevin Barnes. The scalability, and robustness of our computer vision and machine learning algorithms have been put to rigorous test by more than 100M users who have tried our products. Read More…

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Disclaimer

All views expressed on this site are my own and do not represent the opinions of OpenCV.org or any entity whatsoever with which I have been, am now, or will be affiliated.

GETTING STARTED

  • Installation
  • PyTorch
  • Keras & Tensorflow
  • Resource Guide

COURSES

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  • CV4Faces (Old)

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