Udemy – Deep Learning Neural Networks with TensorFlow 2024-3

Udemy – Deep Learning Neural Networks with TensorFlow 2024-3 Downloadly IRSpace

Apr 18, 2025 - 19:58 Updated: Apr 22, 2025 - 14:33

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Udemy – Deep Learning Neural Networks with TensorFlow 2024-3

Deep Learning Neural Networks with TensorFlow Course. This course is a comprehensive program that provides the foundational knowledge and practical skills needed to enter the field of deep learning. The course begins with an introduction to the fundamental concepts of neural networks, including perceptrons and building models with TensorFlow, and then moves on to more advanced topics. To reinforce learning, practical projects such as “Face Mask Recognition Application” and “Linear Model Implementation with Python” are included, which enable the application of theory to real-world situations. Part of the course is also dedicated to advanced applications such as automatically generating image captions for social media, where participants learn about data preprocessing, designing complex models, and developing applications. As one of the leading deep learning frameworks, TensorFlow offers extensive flexibility and capabilities. Designed for all levels, from beginner to expert, this course is a great guide to mastering the intricacies of deep learning with TensorFlow.

What you will learn:

A complete understanding of Deep Learning Neural Networks using TensorFlow.
Reviewing Perceptron basics, initializing models, and performing multi-class classification.
Address advanced concepts, including Convolutional Neural Networks (CNN) and Transfer Learning.
Applying knowledge through real-world projects, such as creating a face mask recognition app and implementing a linear model with Python.
Develop skills in automated image captioning for social media using TensorFlow, including text tokenization and sequential text processing.
Learn how to implement a Streamlit application on AWS EC2 for image caption prediction.

Who is this course suitable for?

Anyone who wants to pass the TensorFlow Developer exam can join the Google Certification Network and display their certification and badges on their resume, GitHub, and social media platforms including LinkedIn, making it easy to share their level of TensorFlow expertise with the world.
Enthusiastic Data Science and Machine Learning enthusiasts. Professionals looking to improve their skills in Deep Learning and TensorFlow.
Students and researchers interested in applications of neural networks. Anyone looking to build practical expertise in image processing and natural language processing with TensorFlow.

Course details for Deep Learning Neural Networks with TensorFlow

Publisher: Udemy
Instructor: EDUCBA Bridging the Gap
Training level: Beginner to advanced
Training duration: 7 hours and 27 minutes
Number of lessons: 49

Course topics

Prerequisites for the Deep Learning Neural Networks with TensorFlow course

Mac / Windows / Linux – all operating systems work with this course!
No previous TensorFlow knowledge required. Basic understanding of Machine Learning is helpful
Basic understanding of Python programming. Familiarity with machine learning concepts. Knowledge of neural networks fundamentals. Prior experience with TensorFlow is helpful but not mandatory.