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This repository is home to the code accompanying Deep Learning with TensorFlow, Keras, and PyTorch series of video tutorials.

Below is a breakdown of the lessons covered across the videos:

• Lesson 1: Introduction to Deep Learning and Artificial Intelligence

  • Shallow Net in TensorFlow

• Lesson 2: How Deep Learning Works

  • Sigmoid Function
  • Softmax Demo
  • Quadratic Cost
  • Cross-Entropy Cost
  • Intermediate Net in TensorFlow

• Lesson 3: High-Performance Deep Learning Networks

  • Weight Initialization
  • Measuring Speed of Learning
  • Deep Net in TensorFlow
  • Regression in TensorFlow
  • Regression with TensorBoard

• Lesson 4: Convolutional Neural Networks

  • LeNet in TensorFlow

• Lesson 5: Moving Forward with Your Own Deep Learning Projects

  • Shallow Net in PyTorch
  • Deep Net in PyTorch
  • LeNet in TensorFlow for Fashion MNIST