Deep-Learning-101

This repository contains the basic building blocks of Deep Learning:

• Machine Learning milestone:

  • A step-by-step guide to build a deep neural network
  • Image classification
  • Understanding CNNs -TensorFlow Digits dataset-
  • Recurrent Neural Networks - Basics
  • Save and Restore a Model using TensorFlow
  • TF_board

• Exploratory Data Analysis:

  • Exploration
  • Correlation matrix
  • Scatter plots
  • Missing data
  • Outliers

• Basics of Computer Vision:

• Basics of Natural Language Processing:

• Basics of Time Series:

• Get started with Kaggle competitions