Read and download Convolutional neural networks in Python complete notes. These notes are a part of machine learning series, python and data science. Neural network is actually step by step series that to recognize underlying relationships in data sets through a process that work the way the human brain operates. Neural network use in different fields such as solving business problems. Neural network are also use for validation of data. It can be used by customer research.
Neutral network work in the form of neural nets. Neural nets organized in the form of nodes. Nodes are in the form of layers. By these notes you will get complete overview of neurons and some important background material of neural network that are needed in order to understand the topic. In these notes we discuss these important topics of Convolutional neural networks in python. You can read these notes easily. You can also download it in PDF.
Why do convolution
Downsampling
Simplest convolutional net
The LeNet architecture
Technicalities
Training of CNN
Components of Theano
Why Theano is in convolutional neural network
TensorFlow codes
Samples of Tensorflow codes
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