Convolutional Neural Networks for image recognition

The image recognition is basically done with the Convolutional Neural Networks(CNN’s), now it can be done through TensorFlow in an efficient way. TensorFlow is the machine learning Framework preferred by most of the researchers as it finds space in handling more efficient and complex tasks easily.  

Back Propagation in TensorFlow

While executing any commands, TensorFlow actually builds computational graph in memory without actually returning any Values. When the Session initializes, it logically processes this graph and produces data. When we update the strength of connections based on the training data that we saw and the error that we calculated is the Process of Back Propagation.

The art of Deep Learning and Neural Networks

Neural Networks along with deep learning provide a solution to image recognition, speech recognition, and natural language processing problems. The Introduction video on TensorFlow and Deep Learning gave an overview of how a neural network and deep learning help on a Classification Problem to Classify hand-written images and how it was actually done with TensorFlow got cleared. Again after viewing the following video to understand well.