SUMMARY.md

Table of contents

• 💫 Deep Learning Notes
• 💼 Practical Tools
• 💎 Concepts of Neural Networks
  • 🌱 Introduction
  • 🔎 The Problem in General
  • 👷‍♀️ Implementation Notes
  • 📚 Common Concepts
  • 💥 Activation Functions
  • 🎈 Practical Aspects
  • 👩‍🔧 NN Regularization
  • ✨ Optimization Algorithms
  • 🎨 Softmax Regression
  • 🏃‍♀️ Introduction to Tensorflow
  • 👩‍💻 Python Code Snippets
• 🙋‍♀️ Hello World of Deep Learning with Neural Networks
  • 🌱 Introduction
  • 🌐 CNNs In Browser
• 🚪 Introduction to Computer Vision
  • 🌱 Introduction
• 🚩 Concepts of Convolutional Neural Networks
  • 🌱 Introduction
  • 📌 Common Concepts
  • 🌟 Advanced Concepts
  • 👀 Visualization
  • 👵 Classic Networks
  • ✨ Other Approaches
  • 🕸 Common Applications
• 👩‍💻 Works and Notes on CNNs
  • 🌱 Introduction
• 💄 Popular Strategies of Deep Learning
  • 🌱 Introduction
  • 🚙 Transfer Learning
  • 📚 Other Strategies
• 🤡 Image Augmentation
  • 🌱 Introduction
• 🤸‍♀️ Notes on Applied Machine Learning
  • 🌱 Introduction
  • 👩‍🔧 Notes on Structuring Machine Learning Projects
  • 👩‍🏫 Implementation Guidelines
• 🕵️‍♀️ Basics of Object Detection
  • 🌱 Introduction
  • ⭕ Region-Based CNNs
  • 🤳 SSD and YOLO
  • 🤖 TensorFlow Object Detection API
  • 🐞 Model Debugging
• ➰ Sequence Models In Deep Learning
  • 🌱 Introduction
  • 📚 General Concepts
  • 🔄 Recurrent Neural Networks
  • 🌌 Vanishing Gradients with RNNs
  • 🌚 Word Representation
  • 💬 Mixed Info On NLP
• 💬 NLP
  • 🌱 Introduction
• 💬 Applied NLP
  • 🙌🏻 Handling texts
  • 🧩 Regex
• 👀 Quick Visual Info
• 📚 PDFs that I found and recommend