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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