Tensorflow 2.0: Deep Learning and Artificial Intelligence

Tensorflow 2.0: Deep Learning and Artificial Intelligence

Tensorflow 2.0: Deep Learning and Artificial Intelligence
Tensorflow 2.0: Deep Learning and Artificial Intelligence, Neural Networks for Computer Vision, Time Series Forecasting, NLP, and More!
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Created by Lazy Programmer Team, Lazy Programmer Inc.
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What you'll learn

  • Artificial Neural Networks (ANNs) / Deep Neural Networks (DNNs)
  • Image Recognition
  • Predict Stock Returns
  • Time Series Forecasting
  • Computer Vision
  • Convolutional Neural Networks (CNNs)
  • Recurrent Neural Networks (RNNs)
  • Use Tensorflow Serving to serve your model using a RESTful API
  • Use Tensorflow's Distribution Strategies to parallelize learning
  • Low-level Tensorflow, gradient tape, and how to build your own custom models
  • Natural Language Processing (NLP) with Deep Learning
  • Demonstrate Moore's Law using Code
  • Requirements
  • Know how to code in Python and Numpy
  • For the theoretical parts, understand derivatives and probability
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