We specialize in Deep Learning and Machine Learning development. We build Artificial Neural Networks, Convolutional Neural Networks and Recurrent Neural Networks for predictive models. We also work on developing Artificial Intelligence Chatbots.
Artificial neural networks are some of the primary tools that facilitate machine learning. These networks have the term “neural” because these are brain-inspired systems which are intended to replicate the way a human’s brain processes information. The networks consist of input and output layers and also an additional hidden layer in most cases. The hidden layer comprises of units that transform the input into something that the output layer can process. These tools are designed for pattern recognition which is otherwise deemed too complicated for human programmers to extract and program the machine to recognize.
Convolutional Neural Networks have application in recommender systems, natural language processing, image and video recognition as well. Just like neural networks, CNNs are made up of neurons with learnable weights and biases. Every neuron receives several inputs, takes a weighted sum over them and passes it on through an activation function. It then responds with an output.
The human brain does not start thinking from scratch every second an external stimulus excites thought in the brain. If you read a book, you tend to understand each word based on your understanding of previous words. All your past experiences, knowledge and memories do not get deleted the moment you go to sleep. This is how you do not have to start from scratch when you wake up every morning. Your thoughts have persistence.