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Deep Learning Model Developement

$25/hr Starting at $80

Hi there! I am a Ph.D. in Computer Science with more than 6 years of experience in research about Deep Learning and Machine learning. 

If you are looking to create a deep learning model in Pytorch, Tensorflow, or Keras to solve a specific task, then you are in the right place.

I will provide you with the services of :

  • Split the data into Training set/ Validation set/ Testing set
  • Create a deep learning model
  • Train and evaluate the model


Languages/Frameworks/Libraries/Tools:

  1. Language: Python
  2. Frameworks: Pytorch, Tensorflow, or Keras
  3. Libraries: Scikit-Learn, SciPy, Numpy, Pandas, Matplotlib, Seaborn, OpenCV, Pillow ...
  4. Tools: Jupyter Notebook, PyCharm, ...


Deep Learning Architectures:

  • Convolutional Neural Network CNN:  AlexNet, VGGNet, GoogLeNet/Inception, ResNet, DenseNet....
  • Generative Adversarial Networks GANs
  • Transformers
  • Artificial Neural Network ANN, Multilayers Perceptron MLP
  • Long Short-Term Memory Network LSTMs / GRU
  • Recurrent Neural Network RNN


Deep Learning Tasks:

  1. Image Classification
  2. Semantic Segmentation
  3. Object Detection
  4. Object Tracking
  5. Text Classification.
  6. and more...

About

$25/hr Ongoing

Download Resume

Hi there! I am a Ph.D. in Computer Science with more than 6 years of experience in research about Deep Learning and Machine learning. 

If you are looking to create a deep learning model in Pytorch, Tensorflow, or Keras to solve a specific task, then you are in the right place.

I will provide you with the services of :

  • Split the data into Training set/ Validation set/ Testing set
  • Create a deep learning model
  • Train and evaluate the model


Languages/Frameworks/Libraries/Tools:

  1. Language: Python
  2. Frameworks: Pytorch, Tensorflow, or Keras
  3. Libraries: Scikit-Learn, SciPy, Numpy, Pandas, Matplotlib, Seaborn, OpenCV, Pillow ...
  4. Tools: Jupyter Notebook, PyCharm, ...


Deep Learning Architectures:

  • Convolutional Neural Network CNN:  AlexNet, VGGNet, GoogLeNet/Inception, ResNet, DenseNet....
  • Generative Adversarial Networks GANs
  • Transformers
  • Artificial Neural Network ANN, Multilayers Perceptron MLP
  • Long Short-Term Memory Network LSTMs / GRU
  • Recurrent Neural Network RNN


Deep Learning Tasks:

  1. Image Classification
  2. Semantic Segmentation
  3. Object Detection
  4. Object Tracking
  5. Text Classification.
  6. and more...

Skills & Expertise

AlgorithmsComputer VisionConvolutional Neural NetworkData VisualizationDeep LearningJupyter NotebookKerasMachine LearningMathematicsMatplotlibNatural Language ProcessingOpenCVPythonPyTorchRecurrent Neural NetworkResearchScikit LearnScipySeaborn

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