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 tutorialKeras 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
