Neural

How important might it be to master the "diamond tool" in Minecraft? Important enough to spend $160,000, according to OpenAI, the artificial intelligence startup. That is the amount of money that a team at OpenAI spent to hire players of Minecraft on the online job listings platform Upwork to submit videos of themselves playing the game.  In a paper unveiled this week, "Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos," OpenAI researchers Bowen Baker and team break ground in the use of large…

Last Updated on June 23, 2022 The Keras Python library for deep learning focuses on the creation of models as a sequence of layers. In this post you will discover the simple components that you can use to create neural networks and simple deep learning models using Keras from TensorFlow. Kick-start your project with my new book Deep Learning With Python, including step-by-step tutorials and the Python source code files for all examples. Let’s get started. May 2016: First version Update Mar/2017: Updated example for…

What Is TensorFlow? TensorFlow is a library resource that comes under machine learning and artificial intelligence. The Google Brain team introduced it in the year 2015. It is a framework used for machine learning and deep learning. The languages used to develop TensorFlow are Python, CUDA, and C++. It supports platforms such as Windows, Android, Linux, JavaScript, and macOS. Using TensorFlow, developers design graphs and structures that consist of nodes, performed by mathematical calculation.  According to the user's…

Wait, computers know how to see?!?I recently had to conduct research using Convolutional Neural Networks (CNN) and was constantly trying to understand what they were on my own. While studying the different features was not difficult, the hardest part was trying to explain CNNs to my friends and family in a way that made sense and was not too technical. Today I wanted to provide the technical definition of CNNs coupled with the nontechnical definition to help you gain a greater grasp of what a CNN is, as well as help you…

Neural Networks and Deep Learning Course: Part 23Original image by Gerd Altmann from Pixabay, edited by authorWe’ve already discussed one neural network architecture — Multilayer Perceptron (MLP). An MLP is not suitable to use with image data as a large number of parameters are involved in the network even for small images.Convolutional Neural Networks (CNNs) are specially designed to work with images. They are widely used in the domain of computer vision.Here are the two main reasons for using CNNs instead of MLPs when…

Neural network concept has its roots in AI and is gaining popularity in the development of trading systems A neural network is a collection of algorithms that are roughly fashioned after the human brain and are developed to recognize patterns. They can interpret data by employing machine perception, grouping, or categorizing raw input. They recognize patterns in vectors of real numbers, into which all real-world data, whether text, sound, time series, or images, is expected to be transformed. Using intelligent…

Here’s what Physics Informed Neural Networks are and why they are helpfulPhoto by Mark König on UnsplashNOTE: This article approaches the Physics Informed Neural Networks from a Physics point of view and guide the reader from Physics to AI. A really good paper that kind of does the opposite (from AI to Physics) is the following one. Shoutout to the amazing article! :)Let’s start with this:We understand how the world works through PhysicsUsing the scientific method we formulate our hypothesis on how a certain phenomenon…

Reusable, maintainable and easy to understand machine learning codePhoto by Milad Fakurian on Unsplash — edited by authorLess code usually results in readable code that is easy to understand and easy to maintain. The Python programming language, that has become very popular in the machine learning community, allows you to achieve great results with less code compared to other programming languages.PyTorch is a popular deep learning framework for Python that has a clean API and allows you to write code that really feels…

Step-by-step explanation and example using PyTorchImage by authorContent:IntroductionCombination of functionsA simple Neural NetworkForward passSetting up the simple neural network in PyTorchBackpropagationComparison with PyTorch resultsConclusionReferencesIntroduction:The neural network is one of the most widely used machine learning algorithms. The successful applications of neural networks in fields such as image classification, time series forecasting, and many others have paved the way for its adoption in business…

While still getting even better performance! — Neural Networks and Deep Learning Course: Part 17Original photo by MagicPattern on Unsplash, edited by authorIn the previous article, we created a Multilayer Perceptron (MLP) classifier model to identify handwritten digits.We used two hidden layers with 256 neurons for the network architecture. Even with such a small network, we got 269,322 total parameters (weights and bias terms). The main reason for getting such a big number of parameters for the network is the large size…