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Keras Assignment Help | Keras Homework Help

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Keras Assignment Help

Our Machine Learning Expert Provide Keras Assignment help & Keras homework help. Our expert are able to do your Keras homework assignments at bachelors , masters & the research level. Here you can get top quality code and report at any basic to advanced level. We are solve lots of projects and papers related to Keras and Machine Learning research paper so you can get code with more experienced expert.

What is keras?

Keras is the high-level API of TensorFlow 2: an approchable, highly-productive interface for solving machine learning problems, with a focus on modern deep learning. It provides essential abstractions and building blocks for developing and shipping machine learning solutions with high iteration velocity.

The core data structures of Keras are layers and models. The simplest type of model is the Sequential model, a linear stack of layers. For more complex architectures, you should use the Keras functional API, which allows to build arbitrary graphs of layers, or write models entirely from scratch via subclasssing.

Here is the Sequential model

from tensorflow.keras.models import Sequential

model = Sequential()

from tensorflow.keras.layers import Dense

model.add(Dense(units=64, activation='relu'))
model.add(Dense(units=10, activation='softmax'))


              optimizer=keras.optimizers.SGD(learning_rate=0.01, momentum=0.9, nesterov=True))

# x_train and y_train are Numpy arrays --just like in the Scikit-Learn API.
model.fit(x_train, y_train, epochs=5, batch_size=32)

loss_and_metrics = model.evaluate(x_test, y_test, batch_size=128)

classes = model.predict(x_test, batch_size=128)

Predefined Model Which is Used In Keras

There are many predefined models which used in machine learning project that use the Keras library: Xception, VGG16, VGG19, ResNet50, Inception v3.

Xception; It used to predict images using Convolutional Neural Network(specifically using Xception Model) pre-trained on the ImageNet database with python and Keras deep learning library.

VGG16: VGG16 is a convolutional neural network model proposed by K. Simonyan and A. Zisserman from the University of Oxford in the paper “Very Deep Convolutional Networks for Large-Scale Image Recognition”. The model achieves 92.7% top-5 test accuracy in ImageNet, which is a dataset of over 14 million images belonging to 1000 classes. If you are looking to hire expert which can implement your machine learning machine learning models using VGG16 Keras then our expert ready to help you. Our expert covers all Image processing related topics which is related to advance computer vision task.

ResNet50: ResNet, short for Residual Networks is a classic neural network used as a backbone for many computer vision tasks. This model was the winner of ImageNet challenge in 2015. However for more regular use it is faster to use the pretrained ResNet-50 in Keras. Keras has many of these backbone models with their Imagenet weights available in its library.

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For Example

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Get Help In Master Thesis Project

Research and thesis topics in Machine Learning is the first choice of masters and Doctorate scholars now a days. The main aim of machine learning is to create intelligent machines which can think and work like human beings. Achieving the above mentioned goals is surely not very easy because of which students who choose research topic in machine learning face difficult challenges and require professional thesis help in their thesis work.

There are many topics for master thesis for research scholar:

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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

  • And more other

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

of the Plotly JavaScript library (plotly.


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.

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Other Programming Languages Used For Data Scientist & Machine Learning

There are many other programming languages and Tools which used to do Data Science and Machine Learning Task. Here we can discussing these programming languages in which our expert also providing the Data Science and Machine Learning programming Help:

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.

JavaScript: When we need to create advance level GUI Application related to Machine Learning and Data Science for model prediction then JavaScript used to create the front end design.

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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