Deep Learning at Scale References

Deep Learning at Scale References

Checkout the following projects for Deep Learning at scale.   TensorFlowOnSpark Developed by Yahoo, TensorFlowOnSpark brings scalable deep learning to Apache Hadoop and Apache Spark clusters. By combining salient features from deep learning framework TensorFlow and big-data frameworks Apache Spark and Apache Hadoop, TensorFlowOnSpark enables distributed deep learning on a cluster of GPU and CPU servers. https://github.com/yahoo/TensorFlowOnSpark   BigDL: Distributed Deep Learning on Apache Spark Another distributed deep learning library to directly […]

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Artificial Neural Network

Artificial Neural Network

So far we have seen how basic calculations work in TensorFlow. The computational graph we have built actually resemble the biological neural network of human brain because of which it is commonly known as Artificial Neural Network or simply Neural Network. The neurons in a neural network are organized across three types of layers: Input Layer: This layer is used to feed the input data […]

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TensorFlow Introduction

TensorFlow Introduction

TensorFlow is open source library by Google for Deep Learning and a Tensor is a multi-dimensional data node having the following three parts: Name Shape Data type Tensor(“Const:0”, shape=(), dtype=string) TensorFlow Hello World example: First use the following command to install TensorFlow on Windows: pip3 install –upgrade tensorflow import tensorflow as tf hello = tf.constant(‘Hello World’) print(hello) If you execute the above program, the text will not […]

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