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
Self Driving Cars
News Aggregation and Fraud News Detection
Natural Language Processing
Detecting Developmental Delay in Children
Colourisation of Black and White images
Adding sounds to silent movies
Automatic Machine Translation
Automatic Handwriting Generation
Automatic Game Playing
Demographic and Election Predictions
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Deep Learning Assignment Help
Looking for an expert to provide you help in deep learning assignment help? or deep learning Homework Help with net and clean coding with sufficient comments
Deep Learning project Help
If you're looking for mini-projects, final year college project, research project, Identify unusual words, find rare words, identification, Barcode reader code, graph/chart
Deep learning programming Help
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Deep Learning Sample Assignments
Classification of Breast cancer | Sample Assignment
Requirement of the project:
Built and implement a classifier of Breast cancer Wisconsin based on Multi-Layer Perceptron.
Study the performance of the classifier in terms of accuracy with respect to the different parameters of the MLP (number of Layers, activation function in hidden layers, learning rate, batch length, iterations number, etc
TensorFlow, PyTorch Assignment Help
n this project, you will design and implement your own deep learning model to perform 10-class image classification on the given dataset. You will be able to access the training data to train and tune your model, and a public testing dataset for the evaluation
Solve Machine Learning Mathematical Problems | Sample Assignment
a. Solve for each αi showing ALL of your work! (2 pts.)
b. Using your results from part a., define the discriminating 2D hyperplane for this dataset; that is, give an equation for the 2D hyperplane. Show your work! (2 pts.)
c. Using the support vector machine you have defined, predict the value for the decision attribute (z) for an instance that has x = 2 and y = 5. Show your work! (2 pts.)
Blowfish and ECC algorithms to secure data | Sample Assignment
Load the Heart Disease Dataset from UCI Repository
Encrypt the Dataset using Blowfish and ECC
Save the encrypted dataset as csv file.
Decrypt the Encrypted dataset using Blowfish and ECC
Save the decrypted dataset as csv file.
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