Stable Deep Learning Tutorials Release

Highlights

Stable releases for deep learning tutorials. And initial launch of deep reinforcement learning, scalable database and programming tutorials.

Stable Sections and Subsections

• Deep Learning and Deep Reinforcement Learning Tutorials (Libraries: Python, PyTorch, Gym, NumPy and Matplotlib)
  • Course Progression
  • Matrices
  • Gradients
  • Linear Regression
  • Logistic Regression
  • Feedforward Neural Network
  • Convolutional Neural Network (CNN)
  • Recurrent Neural Network (RNN)
  • Long Short-Term Memory (LSTM) network
  • Derivative, Gradient and Jacobian
  • Forwardpropagation, Backpropagation and Gradient Descent
  • Learning Rate Scheduling
  • Optimization Algorithms
  • Weight Initialization and Activation Functions
  • Supervised to Reinforcement Learning
  • Markov Decision Processes and Bellman Equations
  • Dynamic Programming
• Programming Tutorials (Libraries: C++, Python, Bash and more)
  • C++
• Scalable Database Tutorials (Libraries: Apache Cassandra, Bash and Python)
  • Apache Cassandra Cluster Setup