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A quick crash course in understanding the essentials of TensorFlow 2 and the integrated Keras API

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TensorFlow 2 Crash Course

A quick crash course in understanding the essentials of TensorFlow 2 and the integrated Keras API.

Essentials Include

  • Understanding Tensors
  • Understanding Layers in TensorFlow
  • Tensor Operations
  • Gradient Descent
  • Autodiff using Gradient Tape
  • Custom Training Loops
  • Sequential, Functional and Subclassing APIs
  • Wide and Deep Networks
  • Deep Learning Essentials
  • Layers, Optimizers, Learning Rate
  • Dense Neural Nets (ANNs)
  • Activation Functions
  • Batch Normalization, Dropout
  • Dynamic Learning Rate Policies
  • Convolutional Neural Networks (CNNs)



Author: Dipanjan (DJ) Sarkar

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A quick crash course in understanding the essentials of TensorFlow 2 and the integrated Keras API

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