# July 6, 2019

##### Deep Learning

Generating image caption using Convolutional and Recurrent Neural Networks

ReadGenerating image caption using Convolutional and Recurrent Neural Networks

ReadThe mixture density network can represent general conditional probability densities using a set of learned mixture models.

ReadIn this post, we train two agents to play tennis against each other

ReadWe use deep deterministic policy gradients to solve unity ml-agent with continuous action space

ReadWe use simple policy based methods to solve CartPole environment and compare their performance

ReadIn this post, I compare the time taken to train a Convolutional neural network on native 1080ti and the accelerators available on Google Colaboratory

ReadIt can provide many useful applications but at what cost ? Privacy, mass surveillance..

ReadCan neural networks learn to write stories ? Can they be taught to crack jokes or write articles ?

ReadWhat do filters in a convolutional neural network learn? How do we visualize a convolutional layer ? Can the Neural networks dream and if they do, do they dream of electric sheep ?

ReadThe paper presents a technique to perform one shot learning with one or few examples per dataset.

ReadCan computers learn to draw like Picasso, Vangogh, Monet or any other artist ? Gatys et al. introduce an algorithm that uses a Deep neural network to generate artistic images of high perceptual quality.

ReadImagine being able to learn the probability distribution of your dataset and sample from the learned distribution.

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