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Some Popular TensorFlow Topics
Machine Learning with PySpark and MLlib
Autoencoder in Deep Learning: TensorFlow
Convolutional Neural Network: TensorFlow Image Classification
Kernel Methods in Machine Learning
Linear Classifier in TensorFlow
Linear Regression with TensorFlow
Neural Network : TensorFlow
RNN(Recurrent Neural Network)
Tensorboard : Graph Visualization
TensorFlow Basics: Tensor, Shape, Type, Graph, Sessions & Operators
Application of TensorFlow
There are many applications of TensorFlow which used for deep learning and machine learning projects:
Image Recognition: Image recognition, an application of Artificial Intelligence (AI), and computer vision. It is the task of identifying objects of interest within an image and recognizing which category they belong to. Image recognition using artificial intelligence to research problem in the computer vision field. Some important term which is related to Image recognition; Segmentation, Classification and Detection, they are interchangeably related to each other.
Voice Recognition: TensorFlow also used in voice recognition, Voice recognition is the process of taking the spoken word as an input to a computer program and identify the appropriate object which belongs to that. This process is important to virtual reality because it provides a fairly natural and intuitive way of controlling the simulation while allowing the user's hands to remain free.
Video Detection: Machine learning expert also use the TensorFlow library for video detection, Realcode4you expert also provide the machine learning and deep learning related help which is related to video detection.
Why TensorFlow is the Choice of ML expert
There are many reasons to choose TensorFlow: Open source library, Quick to run, Quick to debug, Highly effective, Scalable, Easy to experiment. Most of deep learning and machine learning expert choose this because it Iis a foundation library that can be used to create Deep Learning models directly or by using wrapper libraries that simplify the process built on top of TensorFlow.
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The classification technique for the face spoof detection in artificial neural networks using concepts of machine learning.
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Using machine learning algorithms in the detection of pattern system using algorithm of textual feature analysis and classification
The plant disease detection using glcm and KNN classification in neural networks merged with the concepts of machine learning
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Get Help In Other Machine Learning Libraries Related Task
The plotly Python library is an interactive, open-source plotting library that supports over 40 unique chart types
covering a wide range of statistical, financial, geographic, scientific, and 3-dimensional use-cases. Built on top
ggplot2 is an open-source data visualization package for the statistical programming language R. Created by Hadley Wickham in 2005, Realcode4you machine learning expert team provide top rated ggplot visualization help.
Sympy library used for linear algebra. A library is a collection of functions, methods, and objects that allow us to create and manipulate vectors and matrices. Sympy is the library that contains these items to assist us in doing so. Hire Realcode4you machine learning expert to do your machine learning linear algebra problems.
NumPy is a Python library used for working with arrays. It also has functions for working in domain of linear algebra, fourier transform, and matrices. NumPy was created in 2005 by Travis Oliphant. It is an open source project and you can use it freely. NumPy stands for Numerical Python. Hire Realcode4you assignment help expert to do your Numpy realted project.
Scikit-learn is a free software machine learning library for the Python programming language. It features various classification, regression and clustering algorithms including support vector machines, etc. Hire Realcode4you expert to do your sklearn project assignment and homework.
Matplotlib is a plotting library for the Python programming language and its numerical mathematics extension NumPy. It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like Tkinter, wxPython, Qt, or GTK.
Machine Learning Tutors Provide Help and Assist You In
Here the some machine learning topics in which our expert provide assist you:
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Important Key Applications Of ML
Here the some machine learning Applications:
Automatic Speech Recognition
Natural Language Processing
DNA sequence analysis
Protein sequence analysis
Automatic Game Playing
Predicting functional structures
Object Classification in Photographs
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Other Programming Languages Used For Data Scientist & Machine Learning
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Python: Python is the import programming language which start career as a Data Science and Machine Learning. This is first choice of professionals which learn data science. Now a day it became most popular programming language in the field of data science.
Java: Java is also used for machine learning projects but it is difficult to implement compare to Python programming language. Syntax of this programming language is complex compare to python so developer not choose this as a first choice.
R: R programming is also became most familiar with Data Science and Machine Learning expert. This is also choose by Data Science expert like a python. It is also simple like python and it provide lots of in-built libraries which make it easy to implement.
MATLAB: MATLAB is also used to predict the Data Science and Machine Learning models. Basically it used to advance level scientific calculations which is related to machine learning.
SCALA: Scala is used in Data processing, distributed computing, and web development. It powers the data engineering infrastructure of many companies. It also used by Data Scientist Developer.
PySpark: It used to handle the Big Data related task. When data is too long then right choice to implement PySpark. It also support the SQL so it make easy to execute the query.
Hive/HADOOP: It also used by Big Data expert to implement big data related task. Now a day most of industries which is working over past decades then data of these industries is too long. To handle these data Hive/HADOOP is the right choice of developer.
Tkinter: This is the python tool which used to create GUI applications. It also used to create Data Science and Machine Learning Application.
Django/Flask: These are the python Framework which is used to create GUI Applications. If you are looking to hire expert which can do your machine learning web application then you can choose these frameworks.
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