Download PyTorch for Deep Learning with Python Bootcamp Course By Udemy

What you would learn in PyTorch for Deep Learning with Python Bootcamp course?

• Learn to utilize NumPy for formatting data to create arrays
• Make use of pandas to manipulate data and cleaning
• Learn about the classic machine learning fundamentals
• Make use of PyTorch Deep Learning Library for image classification
• Make use of PyTorch to integrate Recurrent Neural Networks for Sequence Time Series Data
• Create state-of-the-art Deep Learning models to work with tabular data

Requirements

• Understanding of Python Basic Topics (data types, loops,functions) also Python OOP recommended
• Learn to perform basic derivative calculations
• Administrator Permissions on your computer (the ability for downloading our file)

  Description

  Welcome to the most comprehensive online course on Deep Learning with Python and PyTorch!

  PyTorch is an open-source deep-learning platform that gives you an easy process from prototyping research to deployment in production. It is fast growing into one of Python's well-known deep learning frameworks. Integration into Python allows well-known libraries and programs to be used to write neural network layers using Python quickly. An extensive set of libraries and tools extends PyTorch and allows the development of computer vision and NLP, and other areas.

  This course focuses on balancing the most important theoretical concepts with hands-on, practical exercises and projects that help you apply the principles taught in this course to your data set! If you sign up for this course, you'll have access to well-organized notebooks that present concepts in a simple to understand way, with explanations and codes in a logical and logical way. Also, you'll have accessibility to the slide decks, which describe the theories using clear and simple diagrams.

  In this course, we'll provide you with all you require to know to begin using Deep Learning with Pytorch, such as:

  • NumPy

  • Pandas

  • Machine Learning Theory

  • Test/Train/Validation Data Splits

  • Model Evaluation - Classification and Regression Assignments

  • Unsupervised Learning Tasks

  • Tensors using PyTorch

  • Neural Network Theory

    • Perceptrons

    • Networks

    • Functions of Activation

    • Cost/Loss Functions

    • Backpropagation

    • Gradients

  • Artificial Neural Networks

  • Convolutional Neural Networks

  • Recurrent Neural Networks

  • and many and much more!

  After this course, you'll be able to develop an array of deep learning models to tackle your problems using your own data set.

  Who should this course be intended for:

  • Intermediate and Advanced Python Developers wanting to understand Deep Learning with PyTorch

Download PyTorch for Deep Learning with Python Bootcamp from below links NOW!