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Keras is a high level library used to build neural network models. This tutorial focuses on its application and ways to solve problems with neural networks.
Learn when to apply TensorFlow neural networks, solve neural network problems, understand image data, and compare TensorFlow with other libraries.
An introduction to deep learning in python. In this article learn about python libraries, additional resources and a complete guide on Deep Learning.
Brief history of neural networks in the area of Deep Learning. This article contains evolution and concepts of neural networks and deep learning.
Theano is a programming language which runs on top of Python. This article explains deep learning with theano and how implementing neural networks in python.
A tutorial for convolution neural networks to identify images. Learn about deep learning for computer vision and implement CNNs using graphlab in python.
This article explains artificial neural networks and fundamentals of deep learning. Learn about forward and backward propagation.
Best resources for deep learning and neural networks. Here are free online resources for beginners to learn neural networks and deep learning.
This article explains interesting deep learning tips including neural networks, theano, machine learning and related mathematical derivations
This article explains the method to find optimal weight in ensemble model using a traditional approach and neural network implementation.
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