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Deep Learning Assignment Help | Deep Learning Homework Help
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What is Deep Learning and why it is used?
Deep Learning is a subfield of machine learning methods based on artificial neural networks with representation learning. Deep learning architectures such as deep neural networks, deep belief networks, recurrent neural networks, and convolutional neural networks have been applied to fields including computer vision, machine vision, speech recognition, natural language processing, audio recognition, social network filtering, machine translation, bioinformatics, drug design, medical image analysis, material inspection, and board game programs, where they have produced results comparable to and in some cases surpassing human expert performance.​
Deep Learning Tools Used For Assignment Help
Theano - Theano is a Python library and optimizing compiler for manipulating and evaluating mathematical expressions, especially matrix-valued ones.
Pylearn2 - Pylearn2 is a library designed to make machine learning research easy. It is built on top of Theano. Hence there are many functions similar between them. Pylearn2 is also capable of running on the CPU and GPU as well.
Tensorflow - TensorFlow is a free and open-source software library for machine learning. It can be used across a range of tasks but has a particular focus on training and inference of deep neural networks.
Keras - It is an open-source software library that provides a Python interface for artificial neural networks. It acts as an interface for the TensorFlow library.
Caffe - Caffe is a deep learning framework made with expression, speed, and modularity in mind.
Torch - Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first. It is easy to use and efficient. The goal of Torch is to have maximum flexibility and speed in building your scientific algorithms while making the process extremely simple.
OverFeat - OverFeat is an image recognizer and feature extractor built around a convolutional network.
Cuda - CUDA is a parallel computing platform and application programming interface model created by Nvidia.
CNNs / convnet - Convolutional network is a specific artificial neural network topology that is inspired by biological visual cortex and tailored for computer vision tasks by Yann LeCun in early 1990s.
Deeplearning4j - Eclipse Deeplearning4j is a programming library written in Java for the Java virtual machine. It is a framework with wide support for deep learning algorithms.
OpenCL - OpenCL is a framework for writing programs that execute across heterogeneous platforms consisting of central processing units, graphics processing units, digital signal processors, field-programmable gate arrays and other processors or hardware accelerators.
DeepCL - python wrapper for DeepCL deep convolutional neural network library for OpenCL
Pytorch - PyTorch is an open source machine learning library for Python and is completely based on Torch. It is primarily used for applications such as natural language processing.
Deep Learning Application
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Self Driving Cars
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News Aggregation and Fraud News Detection
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Natural Language Processing
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Virtual Assistants
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Entertainment
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Visual Recognition
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Fraud Detection
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Healthcare
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Personalisations
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Detecting Developmental Delay in Children
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Colourisation of Black and White images
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Adding sounds to silent movies
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Automatic Machine Translation
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Automatic Handwriting Generation
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Automatic Game Playing
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Language Translations
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Pixel Restoration
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Photo Descriptions
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Demographic and Election Predictions
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Deep Dreaming
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