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Weights Initialization in Neural Network

Analytics Vidhya

Weight initialization helps a lot in optimization for deep learning. Without it, SGD and its variants would be much slower and tricky to converge to the optimal weights. The aim of weight…

Deep Learning Weight Initialization Techniques

Towards AI

Photo by Jakob Boman on Unsplash Introduction A neural network is a constellation of neurons arranged in layers. Each layer is a mathematical transformation that can be linear, non-linear, or a combin...

Weight Initialization in Deep Neural Networks

Towards Data Science

Weight and bias are the adjustable parameters of a neural network, and during the training phase, they are changed using the gradient descent algorithm to minimize the cost function of the network…

Weight Initialization Techniques in Neural Networks

Towards Data Science

Building even a simple neural network can be a confusing task and upon that tuning it to get a better result is extremely tedious. But, the first step that comes in consideration while building a…

Weight Initialization for Deep Learning Neural Networks

Machine Learning Mastery

Last Updated on February 8, 2021 Weight initialization is an important design choice when developing deep learning neural network models. Historically, weight initialization involved using small rando...

Weight Initialization for Neural Networks — Does it matter?

Towards Data Science

Weight initialization techniques changes the behavior of the artificial neural network model over the course of its training. Hence we need to understand how the choice of weight(kernel) initializatio...

Weight Initializer in Deep Learning

Analytics Vidhya

In Neural Networks, it is very necessary to understand how the weights are updated to help the optimizer find the parameters that are best suited for the data to land on to the global minima. A lot…

Hyper-parameters in Action! Part II - Weight Initializers

Towards Data Science

This is the second post of my series on hyper-parameters. In this post, I will show you the importance of properly initializing the weights of your deep neural network. We will start with a naive…

Weight Initialization in Neural Networks: A Journey From the Basics to Kaiming

Towards Data Science

I’d like to invite you to join me on an exploration through different approaches to initializing layer weights in neural networks. Step-by-step, through various short experiments and thought…

Why better weight initialization is important in neural networks?

Towards Data Science

At the beginning of my deep learning journey, I always underrated weight initialization. I believed weights should be initialized to random values without knowing answers to the questions like why…

Parameter Initialization

Dive intro Deep Learning Book

Now that we know how to access the parameters, let’s look at how to initialize them properly. We discussed the need for proper initialization in Section 5.4 . The deep learning framework provides defa...

Selecting the right weight initialization for your deep neural network

Towards Data Science

The weight initialization technique you choose for your neural network can determine how quickly the network converges or whether it converges at all. Although the initial values of these weights are…...