Getting Started with TensorFlow
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TensorFlow – Basic Concepts
- TensorFlow – Basic Concepts
- Machine learning and deep learning basics
- TensorFlow – A general overview
- Python basics
- Installing TensorFlow
- First working session
- Data Flow Graphs
- TensorFlow programming model
- Summary
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Doing Math with TensorFlow
- Doing Math with TensorFlow
- The tensor data structure
- Complex numbers and fractals
- Computing gradients
- Random numbers
- Solving partial differential equations
- Summary
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Starting with Machine Learning
- Starting with Machine Learning
- The linear regression algorithm
- The MNIST dataset
- Classifiers
- Data clustering
- Summary
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Introducing Neural Networks
- Introducing Neural Networks
- What are artificial neural networks?
- Single Layer Perceptron
- The logistic regression
- Multi Layer Perceptron
- Summary
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Deep Learning
- Deep Learning
- Deep learning techniques
- Summary
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GPU Programming and Serving with TensorFlow
- GPU Programming and Serving with TensorFlow
- GPU programming
- TensorFlow Serving
- Loading and exporting a TensorFlow model
- Summary