Why Initialize a Neural Network with Random Weights?

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…

How to Configure the Number of Layers and Nodes in a Neural Network

Artificial neural networks have two main hyperparameters that control the architecture or topology of the network: the number of layers and the number of nodes in each hidden layer. You must specify values for these parameters when configuring your network. The most reliable way to…

This artificial intelligence model mimics human brain

… the hardware implementation of large-scale artificial neural networks. The graphene-based neural … even a rudimentary level of intelligence in wearable electronics and sensors … configurations to optimise these new “artificial synapses”. Despite the challenges, Dr … VISIT THE SOURCE ARTICLE Author:

Tensorflow.js – Introducing client-side neural networks

In this video, we’re going to introduce the concept of client-side artificial neural networks, which will lead us to deploying and running models, along with our full deep learning applications, in the browser. To implement this cool capability, we’ll be using Tensorflow.js (TFJS), Tensorflow’s Javascript…

Bias in an Artificial Neural Network explained | How bias impacts training

In this video, we’ll be discussing the bias present within artificial neural networks, so let’s get to it. When reading up on artificial neural networks, you may have come across the term “bias.” It’s sometimes just referred to as bias. Other times you may see…

Dissecting artificial intelligence to better understand the human brain

… science world, multiple forms of artificial intelligence are emerging – different networks … are now state-of-the-art in many artificial intelligence applications, such as computer vision … understanding of both cognition and artificial intelligence. “It’s a … VISIT THE SOURCE ARTICLE Author:

Artificial Intelligence Trading Software VantagePoint Gets Positive Review in Stocks & Commodities Magazine

… software for intermarket analysis using artificial intelligence (AI) and neural networks, received … Brandon Jones claims use of artificial intelligence. The favorable VantagePoint software review … of up to 86%. Using artificial intelligence, VantagePoint’s patented Neural Network … VISIT THE SOURCE ARTICLE Author:

Artificial intelligence predicts corruption

Artificial neural networks and a database of real cases have revealed the most predictive factors of corruption. Credit: Pixabay Researchers from the University of Valladolid (Spain) have created a computer model based on neural networks that calculates the probability in Spanish provinces of corruption, as…

Geoffrey Hinton – Computers With Brains – YouTube

Geoffrey Hinton, a father of AI, explains how neural networks revolutionised Google’s translation services, and why we might one day be able to recreate consciousness in silicon. Artificial intelligence is already transforming everything from medicine to music. Manuela Saragosa speaks to three pioneers of this…

Recurrent Neural Networks LSTMs and Vanishing & Exploding Gradients – Fun and Easy Machine Learning

Recurrent Neural Networks LSTMs and Vanishing & Exploding Gradients – Fun and Easy Machine Learning https://www.udemy.com/machine-learning-fun-and-easy-using-python-and-keras/?couponCode=YOUTUBE_ML Limited Time – Discount Coupon Recurrent Neural Networks (RNNs) are popular models that have shown great promise in many Natural Language Processing or NLP tasks. So for example if…