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Tensorflow 2.0: Deep Learning and Artificial Intelligence

Tensorflow 2.0: Deep Learning and Artificial Intelligence

Machine Learning & Neural Networks for Computer Vision, Time Series Analysis, NLP, GANs, Reinforcement Learning, +More!

Welcome to Tensorflow 2.0! What an exciting time. It’s been nearly 4 years since Tensorflow was released, and the library has evolved to its official second version. Tensorflow is Google’s library for deep learning and artificial intelligence. Deep Learning has been responsible for some amazing achievements recently, such as:

  • Generating beautiful, photo-realistic images of people and things that never existed (GANs)
  • Beating world champions in the strategy game Go, and complex video games like CS:GO and Dota 2 (Deep Reinforcement Learning)
  • Self-driving cars (Computer Vision)
  • Speech recognition (e.g. Siri) and machine translation (Natural Language Processing)
  • Even creating videos of people doing and saying things they never did (DeepFakes – a potentially nefarious application of deep learning)

Tensorflow is the world’s most popular library for deep learning, and it’s built by Google, whose parent Alphabet recently became the most cash-rich company in the world (just a few days before I wrote this). It is the library of choice for many companies doing AI and machine learning.

Best Seller CourseTensorFlow Developer Certificate in 2022: Zero to Mastery

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
  • Demonstrate Moore’s Law using Code

You May Also Need This CourseModern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4

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