PhD Guidance in Neural Networks

PhD Guidance in Neural Networks is so spiritually powerful and most efficient that it provided by us for help to serve students in a unique way. There were already 5000+ scholars receive the PhD degree with our great and immense knowledge. Our exciting and interesting services go from round-to-round while offering non-stop services to students. A neural network is a computation system-based paradigm used in machine learning, artificial intelligence, deep learning, etc. It supports various applications like classification, regression, image compression, character recognition, and image recognition.

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Next Generation Technologies in Neural-Networks

AI and machine learning in Neural Networks
Deep learning in Artificial Intelligence
Dueling Neural Networks (Hybrid Neural Networks)
Deep Neural networks (feel one image to another image)
Supercomputing in Neural Networks
Modern Business Intelligence with Neural Networks
Smartphone PINs using Neural networks
Binary arithmetic with Accelerating Neural Networks
Language learning
Human ad Artificial Neurons
Advanced Speech Recognition Technology (Google’s Neural Networks)
Neural networks in Hardware specialization
Self-driving cars usage
Personalization technologies

Guidance in Neural Networks

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Advanced Techniques/Methods in Neural-Networks

Enhanced ICR/OCR sing neural networks
Artificial Intelligence/Big data
Neural Networks also with Machine learning algorithms
Neural networks also with soft computing approaches
Automatization and AI
Time delay neural network also for time-dependent shortest path problem
Medical problems self-diagnosis also using Neural Networks
Reinforcement learning also based on Manifold
Hopfield Neural Networks
Computational cognitive neuro science also for learning and visual processing
Cyborg intelligence and also neuromorphic systems
FPGA also with binaural neuromorphic auditory sensor
Categorization of naturalistic textures also based Neuromorphic artificial touch
Superfast computing also for silicon photonic neural network

Advanced Applications in Neural-Networks

Neural hardware
Neurorobotics
Sensor Fusion
Language processing
Pattern Recognition
Neural Agents
IoT
Big data
Evolutionary Neural Networks
Intelligent Robotics
Brain-computer interaction
Neural agents

Development Tools and Software’s

SIMBRAIN
Caffe
CNTK
Deeplearning4j
NuPIC
OpenNN
Deepnet
CXXNET
Neon
Tiny-dnn
JOON
Peltarion
NeuroSolutions
LIONsolver
Neuroph
Encog
NeuroDimension

Purpose of Tools and Software’s

SIMBRAIN: Open source and free tool that used for computer simulations of brain circuitry. It is also used to build, analyze and run neural networks.
Caffe: Open source and also deep learning framework that improves the performance of the deep learning.
CNTK: Microsoft Cognitive Toolkit (CNTK) also used in AI approaches
Deeplearning4j: Open source deep learning library also used in JVM. This framework runs in distributed environments (both Apache Hadoop and Spark)
NuPIC: Numenta Platform for intelligent computing is an open source machine learning platform also used in HTM algorithms (Hierarchical temporal memory)
OpenNN: C++ programming library also used to implement in neural networks.
Deepnet: Deep learning toolkit in R and also known as darknet that is used to implement deep learning architectures and also NN algorithms.
CXXNET: C++/CUDA toolkit with easily interface also with Python and Matlab for training and prediction
Neon: Python based Deep learning framework and archives the higher performance also on common deep learning neural networks such as GoogleNet, and AlexNet.
Tiny-dnn: C++11 implementation of deep learning used also in deep learning approaches.
JOONE: Java Object Oriented Neural Engine written in JAVA used in distributed training environment
Peltarion: Software for deep learning, and also revolutionary AI
NeuroSolutions: Neural network software development tool for creating solutions for AI, and also data development
LIONsolver: Integrated tool used for machine learning, data mining, intelligent optimization and also business intelligence.
Neuroph: Java Neural Network Framework that also supports for common neural network learning rules and architectures
Encog: Most advanced machine learning framework written in .NET, C++ and JAVA.
NeuroDimension: Neural network software used for data mining, machine learning, data analysis and also predictive models

Major Research Topics in Neural Networks

Neural systems modeling
Fault tolerance system
Integration of Neural networks and also Fuzzy logic
AI with NN applications
Memory augmented neural networks also with one-shot learning
Machine translation also with Neural networks
Migration of NLP applications
Visual attention also with neural image caption generation
Equilibrium Propagation for Energy based models and Back propagation
Learning constraints also in neural network models
Neuronal Spiking Networks