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!

• HIGHEST RATED
• Created by Lazy Programmer Team, Lazy Programmer Inc.
• English
• English [Auto-generated]

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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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