Showing content from https://github.com/BinRoot/TensorFlow-Book below:
BinRoot/TensorFlow-Book: Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
This is the official code repository for Machine 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
RetroSearch is an open source project built by @garambo
| Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4