Tag neural networks

Classification with Neural Networks using Python

Classification with Neural Networks using Python

In machine learning, classification means categorizing the known classes, For example, categorizing the most profitable and non-interested customers from a dataset for advertising a particular product. You must have trained a classification model with a machine learning algorithm before. Here…

How Neural Network Works

How Neural Network Works

A neural network is a computational structure that connects an input layer to an output layer. This computational structure is used in training deep learning models that can easily outperform any classical machine learning algorithm. As a data science beginner,…

Stock Price Prediction with LSTM

Stock Price Prediction with LSTM

LSTM stands for Long Short Term Memory Networks. It is a type of recurrent neural network that is commonly used for regression and time series forecasting in machine learning. It can memorize data for long periods, which differentiates LSTM neural…

Deep Learning Project Ideas

Deep Learning Project Ideas

Deep Learning is a subset of machine learning that mimics the human brain to solve complex problems. Deep Learning is used to train computers to perform tasks where humans are good at, but computers are not. If you are learning…

AlexNet Architecture using Python

AlexNet Architecture using Python

AlexNet is a popular convolutional neural network architecture that won the ImageNet 2012 challenge by a large margin. It was developed by Alex Krizhevsky, Ilya Sutskever and Geoffery Hinton. It is similar to the LeNet-5 architecture but larger and deeper.…

LeNet-5 Architecture using Python

LeNet-5 Architecture using Python

The LeNet-5 architecture is the most widely used architecture of convolutional neural networks. It was created by Yann LeCunn in 1998. If you have never used the LeNet-5 architecture of convolutional neural networks, then this article is for you. In…

Best Deep Learning Courses

Best Deep Learning Courses

If you want to become an expert in machine learning, you must also learn deep learning. There are many paid and free courses on the internet that can give you a comprehensive knowledge of the concepts of deep learning. So,…

All Topics of Deep Learning

All Topics of Deep Learning

Deep learning is a subset of machine learning in which we use the power of neural network architectures that mimic the workings of a human brain while solving a problem. If you want to become a machine learning engineer, you have…

Autokeras Tutorial with Python

Autokeras Tutorial with Python

AutoKeras is a Keras-based machine learning framework. It was developed by DATA Lab at Texas A&M University to provide deep learning for everyone. Simply put, it is an automatic machine learning framework for deep learning. If you want to learn…

Perceptron in Machine Learning

Perceptron in Machine Learning

Perceptron is one of the simplest architecture of Artificial Neural Networks in Machine Learning. It was invented by Frank Rosenblatt in 1957. In this article, I will take you through an introduction to Perceptron in Machine Learning and its implementation…

Types of Neural Networks

Types of Neural Networks

A neural network is a subset of machine learning that mimics the workings of a human brain while solving a complex problem based on deep learning. Neural networks are inspired by neurons found in the human brain. In this article,…

LSTM in Machine Learning

LSTM in Machine Learning

The LSTM Network model stands for Long Short Term Memory networks. These are a special kind of Neural Networks which are generally capable of understanding long term dependencies. LSTM model was generally designed to prevent the problems of long term…

Understanding a Neural Network

What is a Neural Network Neural Network is a computational algorithm that is used in creating deep learning models for predictions and classifications. It is based on self-learning and training, rather than being explicitly programmed. Neural Networks are inspired by…

Dog and Cat Classification using CNN

Introduction to CNN Convolutional neural networks (CNN) are primarily used to classify images or identify pattern similarities between them. So a convolutional network receives a normal color image as a rectangular box whose width and height are measured by the…