Building deep learning neural networks using TensorFlow layers
A step-by-step tutorial on how to use TensorFlow to build a multi-layered convolutional network.
All About TensorFlow
TensorFlow brings AI to the connected device
TensorFlow Lite enriches the mobile experience.
Convolutional neural networks for language tasks
Though they are typically applied to vision problems, convolution neural networks can be very effective for some language tasks.
Introduction to LSTMs with TensorFlow
How to build a multilayered LSTM network to infer stock market sentiment from social conversation using TensorFlow.
Reinforcement learning with TensorFlow
Solving problems with gradient ascent, and training an agent in Doom.
GPU-accelerated TensorFlow on Kubernetes
A unified methodology for scheduling workflows, managing data, and offloading to GPUs.
Transfer learning from multiple pre-trained computer vision models
Using the keras TensorFlow abstraction library, the method is simple, easy to implement, and often produces surprisingly good results.
The tools that make TensorFlow productive
Analytical frameworks come with an entire ecosystem.
Deep convolutional generative adversarial networks with TensorFlow
How to build and train a DCGAN to generate images of faces, using a Jupyter Notebook and TensorFlow.
Question answering with TensorFlow
Using advanced neural networks to tackle challenging natural language tasks.
The APIs for neural networks in TensorFlow
A look at the Layer API, TFLearn, and Keras.
Using TensorFlow to generate images with PixelRNNs
Generate new images and fix old ones using neural networks.