Tutorial 11- Various Weight Initialization Techniques in Neural Network

The weights of artificial neural networks must be initialized to small random numbers. This is because this is an expectation of the stochastic optimization algorithm used to train the model, called stochastic gradient descent. To understand this approach to problem solving, you must first understand the role of nondeterministic and randomized algorithms as well as the need for stochastic optimization algorithms to harness randomness in their search process Below are the various playlist created on ML,Data Science and Deep Learning. Please subscribe and support the channel. Happy Learning! Deep Learning Playlist: https://www.seevid.ir/fa/w/DKSZHN7jftI Data Science Projects playlist: https://www.seevid.ir/fa/w/5Txi0nHIe0o NLP playlist: https://www.seevid.ir/fa/w/6ZVf1jnEKGI Statistics Playlist: https://www.seevid.ir/fa/w/GGZfVeZs_v4 Feature Engineering playlist: https://www.seevid.ir/fa/w/NgoLMsaZ4HU Computer Vision playlist: https://www.seevid.ir/fa/w/mT34_yu5pbg Data Science Interview Question playlist: https://www.seevid.ir/fa/w/820Qr4BH0YM You can buy my book on Finance with Machine Learning and Deep Learning from the below url amazon url: https://www.amazon.in/Hands-Python-Finance-implementing-strategies/dp/1789346371/ref=sr_1_1?keywords=krish+naik&qid=1560943725&s=gateway&sr=8-1 🙏🙏🙏🙏🙏🙏🙏🙏 YOU JUST NEED TO DO 3 THINGS to support my channel LIKE SHARE & SUBSCRIBE TO MY YOUTUBE CHANNEL

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