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Deep-Learning

Tensorflow Certification

Deep Learning Projects: Have a look ^-^

Includes:

  • Advanced TF: Advanced Techniques with Tensorflow

    • Multi-Output Models using Functional API
  • CNN: Convolutional Neural Networks

    • Image Recognition
    • Image Segmentation
    • Object Detection
    • Transfer Learning
    • Neural Style Transfer
    • Image Data Augmentation
  • GANs: Generative Adversarial Networks

  • MLP: Multi Layer Perceptron

    • Simple multi-layer models
  • PyTorch: Projects using Pytorch library

  • RNN: Recurrent Neural Networks

    • Encoder-Decoder Architecture
    • Time Series Prediction
    • Explanation for LSTMs
  • Tensorflow JS: Browser based Machine Learning models

    • Model conversion to browser based
    • JS model usage
  • Tensorflow Serving: Model Deployment for Tensorflow models

    • TF Serving using Docker Containers

    • Tensorflow Hub for pretrained models

    • Tensorflow Hub for monitoring