Deep Learning with Python and PyTorch

Python and its popular libraries, such as NumPy and Pandas, as well as the PyTorch Deep Learning library, will be covered. You will first learn the fundamentals of PyTorch and how to construct deep neural networks in it. Following that, you will learn how to train these models using cutting-edge techniques. You will also go over multiclass classification and learn how to build and train a multiclass linear classifier in PyTorch.

This will be followed by a detailed explanation of how to build Feed-forward neural networks in PyTorch, as well as how to train these models and adjust hyperparameters like activation functions and the number of neurons. Then you'll learn how to build and train deep neural networks, including dropout, initialization, different types of optimizers, and batch normalization. Finally, you will discover principal component analysis, data whitening, shallow autoencoders, deep autoencoders, transfer learning with autoencoders, and autoencoder applications.

In this course, you will learn how to:

• apply knowledge of Deep Neural Networks and related machine learning methods.
• build and train Deep Neural Networks using PyTorch.
• build Deep learning pipelines.

You can take Deep Learning with Python and PyTorch certification course on Edx.
Course rating : N/a
Duration: 18 h
Certificate: Certificate on purchase

Enroll here: edx.org/course/deep-learning-with-python-and-pytorch