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Let’s Not Stop At Back-prop! Check Out 5 Alternatives To This Popular Deep Learning Technique
Back-propagation is the procedure of repeatedly adjusting the weights of the connections in the neural network to minimize the difference between actual output and desired output. These weight adjustments result in making the hidden units of the neural network to represent key features of the data. Back-propagation is an ingenious idea that also has its…
The post Let’s Not Stop At Back-prop! Check Out 5 Alternatives To This Popular Deep Learning Technique appeared first on Analytics India Magazine.
Back-propagation algorithm in simpler terms can be typified as learning how to ride a bicycle. After a few unfortunate falls, one learns how to avoid the fall. And every fall teaches how to ride the bike better and not lean too much on either side so as not to fall before reaching the destination. Today,…
The post Is Deep Learning Possible Without Back-propagation? appeared first on Analytics India Magazine.