Deep-Learning

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