Udemy – Deep Learning Bootcamp: Neural Networks with Python, PyTorch 2024-12

Published on: 2024-12-12 21:44:57

Categories: 28

Description

Deep Learning Bootcamp: Neural Networks with Python PyTorch. This course is a comprehensive guide to the complex world of deep learning and artificial intelligence. Using Python, PyTorch, and TensorFlow, three powerful tools in the field of deep learning, this course takes you from the basics to advanced projects.

What you will learn

Basics of machine learning and neural networks
How to train deep neural networks using gradient descent algorithm
Applying deep learning to the IRIS dataset
Deep understanding of tensors and their operations in PyTorch
Ability to build and train simple to complex neural networks
Familiarity with various cost functions, optimizers, and activation functions
Completing a brain tumor detection project from MRI images demonstrates your skills in deep learning and PyTorch.
Strong understanding of TensorFlow basics
Practical experience in building deep learning models
Familiarity with training, evaluating, and optimizing models
Confidence to explore more complex AI and machine learning projects

This course is suitable for people who:

Are interested in data science
Want to improve their skills in deep neural networks using real data
They want to implement deep neural networks in real projects.
Software developers and data scientists are looking to expand their skills with PyTorch
Beginners who want to enter the world of deep learning and artificial intelligence
Are curious about deep learning and TensorFlow

Course Details Deep Learning Bootcamp: Neural Networks with Python PyTorch

Publisher: Udemy
Instructor: AI Sciences
Training level: Beginner to advanced
Training duration: 14 hours and 21 minutes
Number of lessons: 153

Course headings

Prerequisites for the Deep Learning Bootcamp: Neural Networks with Python PyTorch course

• No prior knowledge of Deep Learning or Math is needed. You will start from the basics and build your knowledge of the subject step by step.
• Basic understanding of Python programming.
No prior experience with TensorFlow is required, but a basic understanding of machine learning concepts and Python will be helpful.