TensorFlow is a free and open-source software library for machine learning. It can be used across a range of tasks but has a particular focus on training and inference of deep neural networks. Tensorflow is a symbolic math library based on dataflow and differentiable programming.
- Deep Learing & Machine Learning basics.
- Why is TensorFlow so popular ?
- Why Should you learn ?
- What is TensorFlow ?
- TensorFlow Architecture
- Components of TensorFlow
- TensorFlow - Mathematical Foundations
- Install for Wndows
- Install for Ubuntu
- Install for Mac
- workflow of Tensorflow
- Simple Example
- Tensorflow data pipeline
- Simple Example
- Tensor
- Shape
- Type
- Graph
- Sessions
- Operators
- Variables
- Linear Regression using TF
- Logistic Regression using TF
- Convolutional Neural Networks using TF
- Recurrent Neural Networks using TF
- Algorithms supported by TensorFlow
- What is an Autoencoder?
- How does Autoencoder work?
- Stacked Autoencoder Example
- Linear Regression Case Study
- Logistic Regression using TensorFlow Case Study
- Neural network with TensorFlow
- CNN with TensorFlow
- Autoencoder with TensorFlow