Tag: deep learning
Alexnet Architecture Explained | Introduction to Alexnet Architecture
The introduction of AlexNet in 2012 has changed the image recognition field. Thousands of researchers and entrepreneurs were able to approach artificial intelligence in a different manner by using this deep neural network that Alex Krizhevsky, Ilya Sutskever and Geoffrey Hinton created together. Considering how strictly quantitative and limited computer vision technology was: barely classifying…
Read MoreSigmoid Activation Function in Detail Explained
When it comes to artificial neural networks, the Sigmoid activation function is a real superstar! It might sound like a fancy term, but don’t worry; we’re going to break it down in a way that even your grandma would understand. What’s the Buzz About Activation Functions? Before we zoom in on the Sigmoid activation function,…
Read MoreUnderstanding the Softmax Activation Function: A Detailed Explanation
The Softmax activation function is one of the most important activation function in artificial neural networks. Its primary purpose is to transform a vector of real numbers into a probability distribution, enabling us to make informed decisions based on the output probabilities. In this article, we will figure out the workings of the Softmax activation…
Read MoreDay 5: Everything you need to know about Activation Functions in Deep learning
Deep learning is a powerful area of artificial intelligence that has received a lot of attention in recent years. One of the main components of deep learning models is the activation function. Activation functions play a crucial role in determining the output of a neural network. In this article, we will dive deep into understanding…
Read MoreThe Differences between Sigmoid and Softmax Activation function?
In the field of neural networks, activation functions play an important role in transforming linear output into nonlinear, allowing models to learn complex patterns efficiently. Two commonly used activation functions are the Sigmoid and Softmax functions. In this article, we will be looking at the differences between these two activation functions and their respective use…
Read MoreDay 4: Exploring the Fundamentals of Artificial Neural Networks
Artificial neural networks (ANN) have revolutionized the field of artificial intelligence, enabling computers to perform complex tasks such as image recognition, natural language processing, and speech synthesis. ANNs are designed to mimic the structure and function of the human brain, allowing machines to learn from data and make intelligent decisions. In this article, we will…
Read MoreFrom Zero to Hero: The Ultimate PyTorch Tutorial for Machine Learning Enthusiasts
Machine learning has revolutionized a number of industries, from healthcare to finance, by allowing computers to learn from data and make intelligent predictions. PyTorch, a popular open source machine learning framework, has gained significant traction among researchers and practitioners due to its flexibility and ease of use. In this comprehensive tutorial, we’ll take you from beginner…
Read MoreDay 1: Introduction to Deep Learning: Understanding the Basics
Welcome to this Deep Learning Course! Today is the beginning of our course and in this first article we will be talking about basics of Deep Learning. So, Let’s get started. Deep learning, is a subfield of machine learning that focuses on algorithms inspired by the structure of the human brain called which is an…
Read MoreMastering Keras: Best Practices for Optimizing Your Python Models
The popularity of Keras, a Python library for building and training deep learning models, has increased as deep learning evolves. It is known for its user-friendly API, which allows developers to quickly build, test, and deploy deep learning models. This article will cover the best practices for optimizing Keras models, including understanding Python Keras libraries,…
Read MoreEssential Keras Functions for Python Programmers
Python developers are likely to be familiar with constructing neural networks for deep learning applications. Although Python is a potent language that enables the development of complex applications, deep learning can be difficult. This is where Keras comes into play. Keras is a sophisticated neural network API that is coded in Python. It was created…
Read More