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This is the official code repository forMachine Learning with TensorFlow.

Get started with machine learning using TensorFlow, Google's latest and greatest machine learning library.

• Concept 1: Defining tensors
• Concept 2: Evaluating ops
• Concept 3: Interactive session
• Concept 4: Session loggings
• Concept 5: Variables
• Concept 6: Saving variables
• Concept 7: Loading variables
• Concept 8: TensorBoard

• Concept 1: Linear regression
• Concept 2: Polynomial regression
• Concept 3: Regularization

• Concept 1: Linear regression for classification
• Concept 2: Logistic regression
• Concept 3: 2D Logistic regression
• Concept 4: Softmax classification

• Concept 1: Clustering
• Concept 2: Segmentation
• Concept 3: Self-organizing map

• Concept 1: Forward algorithm
• Concept 2: Viterbi decode

• Concept 1: Autoencoder
• Concept 2: Applying an autoencoder to images
• Concept 3: Denoising autoencoder

• Concept 1: Reinforcement learning

• Concept 1: Using CIFAR-10 dataset
• Concept 2: Convolutions
• Concept 3: Convolutional neural network

• Concept 1: Loading timeseries data
• Concept 2: Recurrent neural networks
• Concept 3: Applying RNN to real-world data for timeseries prediction

• Concept 1: Multi-cell RNN
• Concept 2: Embedding lookup
• Concept 3: Seq2seq model

• Concept 1: RankNet
• Concept 2: Image embedding
• Concept 3: Image ranking