项目作者: dhruvmullick

项目描述 :
Programming Assignments for some of the Coursera Deep Learning Specialisation Modules
高级语言: Jupyter Notebook
项目地址: git://github.com/dhruvmullick/deep-learning-coursera-specialization.git


deep-learning-coursera-specialization

Programming Assignments for some of the Coursera Deep Learning Specialisation Modules

  1. Convolutional Neural Networks

    1. Week 1 -> Using Tensorflow, build a convolutional neural network (CNN) by implementing Conv layers, Pool layers and Forward propagation.
    2. Week 2 -> Using Keras, build a model for Residual Neural Networks (ResNet)
    3. Week 3 -> Using Keras, use YOLO with non-max suppression algorithm for object detection.
    4. Week 4 -> Using Tensorflow, build face detection and recognition systems (Siamese networks); Neural Style Transfer
  2. Sequence Models

    1. Week 1 -> Using Keras, build LSTM and RNN units, language modeling, music generator
    2. Week 2 -> Using Keras, use embedding words, create LSTM network and also word embedding method for getting emojis for sentence
    3. Week 3 -> Using Keras, build a trigger word detection system and a machine translation system.