Share Description
In this course, you will learn
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Artificial Neural Networks (ANNs) / Deep Neural Networks (DNNs)
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Predict Stock Returns
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Time Series Forecasting
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Computer Vision
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How to build a Deep Reinforcement Learning Stock Trading Bot
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GANs (Generative Adversarial Networks)
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Recommender Systems
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Image Recognition
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Convolutional Neural Networks (CNNs)
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Recurrent Neural Networks (RNNs)
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Use Tensorflow Serving to serve your model using a RESTful API
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Use Tensorflow Lite to export your model for mobile (Android, iOS) and embedded devices
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Use Tensorflow's Distribution Strategies to parallelize learning
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Low-level Tensorflow, gradient tape, and how to build your own custom models
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Natural Language Processing (NLP) with Deep Learning
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Demonstrate Moore's Law using Code
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Transfer Learning to create state-of-the-art image classifiers
