anilesh-prajapati / Deep-Learning-with-TensorFlow-Keras-and-PyTorch

Deep Learning with TensorFlow Keras and PyTorch

Deep Learning with TensorFlow Keras and PyTorch

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

Curriculum

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

Deep Learning with TensorFlow, Keras, and PyTorch

• 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