We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

This video is an overall package to understand Dropout in Neural Network and then implement it in Python from scratch.

In the top left hand corner of the screen, text appears describing the sidewalk sights. The text in the video by U.S. artist and coder Kyle McDonald was generated in real time by a neural network.

They're just videos with a single audio track consisting of more than one person. To build a tool capable of this, Google started with 100,000 samples of high-quality lectures and talks from YouTube.

Neural networks used in machine learning tools need many resources. Pruning removes network redundancies to make tools more efficient and accessible. Video data constitutes the majority of data ...

Artificial neural networks are better than other methods for more complicated tasks like image recognition, and the key to their success is their hidden layers. We'll talk about how the math of ...

Convolutional neural networks have been widely used to improve the compression performance of state-of-the-art video codecs.

Blast from the past Someone used neural networks to upscale a famous 1896 video to 4k quality (Updated) Machine-learning software fills in missing details to produce realistic images.

By interpreting neural networks, it is possible to uncover the black box, providing explanations to support a transparent and reliable use of ML.

If the neural network gets it wrong, you send it back for more training (a process known as backpropagation). When it stops improving on its ability to recognize images, the training is done.

On a more basic level, [Gigante] did just that, teaching a neural network to play a basic driving game with a genetic algorithm. The game consists of a basic top-down 2D driving game.