This video on Backpropagation in Neural Networks will cover how backpropagation and gradient descent play a role in training neural networks. You will learn this using an example of how to recognize the handwritten digits using a neural network. After predicting the results, you will see how to train the network using backpropagation to obtain high accuracy results. You will also understand how to calculate the loss function to measure the error in the model. Finally, you will look at how to find the minimum of a function using gradient descent with a graph's help.

This video on Backpropagation in Neural Networks will cover how backpropagation and gradient descent play a role in training neural networks. You will learn this using an example of how to recognize the handwritten digits using a neural network. After predicting the results, you will see how to train the network using backpropagation to obtain high accuracy results. You will also understand how to calculate the loss function to measure the error in the model. Finally, you will look at how to find the minimum of a function using gradient descent with a graph's help.

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Most popular Data Science and Machine Learning courses — August 2020. This list was last updated in August 2020 — and will be updated regularly so as to keep it relevant

Learning is a new fun in the field of Machine Learning and Data Science. In this article, we’ll be discussing 15 machine learning and data science projects.

This post will help you in finding different websites where you can easily get free Datasets to practice and develop projects in Data Science and Machine Learning.

The agenda of the talk included an introduction to 3D data, its applications and case studies, 3D data alignment and more.