Neural Networks

ResNet: Residual Neural Networks -easily explained!

Explanation of a residual neural network with example in TensorFlow.

Explanation of Batch Normalization and its advantages.

Explanation of Algorithms with examples and reference to Machine Learning.

Explanation of perceptrons with example and how neural networks arise from them.

Overfitting explained and strategies for avoiding it listed.

Explanation of tensors with examples and their application in Machine Learning.

Explanation of TensorFlow including components and a comparison with PyTorch.

Simple explanation of how Generative Adversarial Networks work including examples.

Functionality of the Integrated Gradient explained using the example of a sentiment analysis.

Explanation of Recurrent Neural Networks, including definition, applications, types, and problems.