Category: Deep Learning
Deep Learning Algorithms
Neural networks also known as artificial neural networks are a subset of machine learning and are at the heart of deep learning algorithms. Their name and structure are inspired by the human […]
LSTM Architecture Explained
LSTM (Long Short-Term Memory) is a type of RNN (Recurrent Neural Network) that is widely used for learning sequential data prediction problems. LSTM also has some layers which help it to learn […]
Recurrent Neural Network
What is Recurrent neural networks? Recurrent neural networks also known as RNNs are a class of neural networks that are naturally suited to processing time-series data and other sequential data x(t)= x(1), […]
LSTM Neural Network
LSTM is one of the Recurrent Neural Networks used to efficiently learn long-term dependencies. LSTM modules consist of gate layers that act as key drivers to control information in neural networks. What […]
VGG 16 Architecture Code
Convolution Neural Network The era of Convolution Neural Network is at its peak in the 20th century and it is said that it is going to rise more by up to 10% […]
Deep Learning
What is deep learning? Deep learning (also known as deep structured learning) is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised. The main idea behind deep learning is that artificial […]
Alexnet Architecture Code
AlexNet is the name of a convolutional neural network (CNN) architecture, designed by Alex Krizhevsky. AlexNet competed in the ImageNet Large Scale Visual Recognition Challenge on September 30, 2012. The network achieved a top-5 error of 15.3%, more […]
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