This video tutorial discusses a background of speech recognition, feed forward neural networks, RNNs, issues with RNNs, a RNN Demo, LSTMs, LSTM Gates, and both simple and complex LSTM demos.
This video explains an intuitive approach for Convolutional Neural Networks, specialized neural networks used in the field of machine learning for image processing. It starts with a biological background, moving into basic neural network computation, CNNs, hyper parameters, running the CNN model using Keras, and potential applications to every day life as well as future areas of study.
Have you ever wondered how large machine learning libraries such as Keras and Tensorflow use neural networks? Discover an Algorithmic approach to Artificial Intelligence in this video by learning how to make a Neural Networks by scratch.