You will get built and trained deep learning model for you
Project details
Do you need help with solving your Deep Learning, data science, and python projects?
Then, you came to the perfect place.
I am Adham, I have experience in Machine Learning, Deep Learning, Computer Vision, Image processing, and python. I am here to solve your all problems related to these technologies.
Previously built models in deep learning:
Neural Networks:
• Sentiment Classification Projects
• MLP Classification, MNIST (Notebook)
• Linear Autoencoder
• Variational Autoencoders
Convolutional Neural Networks
• CNN for CIFAR Image Classification
• Transfer Learning
• Convolutional Autoencoder
• De-noising Autoencoder
• Style Transfer
Recurrent Neural Networks
• Character-Level RNN
• Word2Vec, SkipGram
• Word2Vec, Negative Sampling
• Sentiment Analysis RNN
• Attention Basics
• RNN as a Generative Model
Generative Adversarial Networks
• MNIST GAN
• DCGAN for SVHN
• CycleGAN
• Conditional GAN
• Missing Value Imputation Using Conditional GAN
Tools that will be used: Numpy, pandas, sklearn, matplotlib, PyTorch, openCV, etc
Note: Please send me the message before placing the order in order to avoid inconvenience.
Then, you came to the perfect place.
I am Adham, I have experience in Machine Learning, Deep Learning, Computer Vision, Image processing, and python. I am here to solve your all problems related to these technologies.
Previously built models in deep learning:
Neural Networks:
• Sentiment Classification Projects
• MLP Classification, MNIST (Notebook)
• Linear Autoencoder
• Variational Autoencoders
Convolutional Neural Networks
• CNN for CIFAR Image Classification
• Transfer Learning
• Convolutional Autoencoder
• De-noising Autoencoder
• Style Transfer
Recurrent Neural Networks
• Character-Level RNN
• Word2Vec, SkipGram
• Word2Vec, Negative Sampling
• Sentiment Analysis RNN
• Attention Basics
• RNN as a Generative Model
Generative Adversarial Networks
• MNIST GAN
• DCGAN for SVHN
• CycleGAN
• Conditional GAN
• Missing Value Imputation Using Conditional GAN
Tools that will be used: Numpy, pandas, sklearn, matplotlib, PyTorch, openCV, etc
Note: Please send me the message before placing the order in order to avoid inconvenience.
Machine Learning Tools
ChatGPT, GitHub Copilot, Google Sheets, Microsoft Excel, NumPy, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, TensorFlow, Word2vecWhat's included
| Service Tiers |
Starter
$25
|
Standard
$40
|
Advanced
$80
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 0 | 1 | 3 |
Number of Model Variations | 1 | 1 | 1 |
Model Validation/Testing | |||
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$15 - $40
Additional Revision
+$10
Additional Model Variation
(+ 1 Day)
+$20
Model Documentation
(+ 1 Day)
+$30
Get Dataset
(+ 1 Day)
+$20About Adham
Software Engineer
Cairo, Egypt - 11:50 pm local time
I am experienced in Windows applications using C++ and C#, Operating systems using C with Linux, multipurpose scripting using Python, Image processing, and Computer Vision using Python and Pytorch. I have used Image Processing and Computer Vision to develop a bubble sheet exam corrector. I also have decent experience and knowledge of Data Analysis and Machine learning.
Steps for completing your project
After purchasing the project, send requirements so Adham can start the project.
Delivery time starts when Adham receives requirements from you.
Adham works on your project following the steps below.
Revisions may occur after the delivery date.
Provide the dataset
Provide the dataset or the dataset link
Approve the type of the model that will be used
Choose the type of the model that suits the requirements.