Udemy – Deep Learning for Beginners in Python: Work On 12+ Projects 2021-8
Udemy – Deep Learning for Beginners in Python: Work On 12+ Projects 2021-8 Downloadly IRSpace
Deep Learning for Beginners in Python: Work On 12+ Projects is a project-based in-depth learning program based on the Python programming language, published by Udemy Academy. This training course covers various and scattered topics such as TensorFlow version 2 machine learning and artificial intelligence library, artificial neural networks, natural language processing (NLP), data science, machine learning, etc. You will work on 12 different projects. Artificial intelligence and deep learning are two very widely used technologies that are used in various industries such as cars and self-driving vehicles, chat boots, object recognition and recognition in images, virtual assistants, etc. The TensorFlow Version 2 library incorporates a range of different capabilities that simplify the process of designing and manufacturing systems based on artificial intelligence and deep learning.
What you will learn in Deep Learning for Beginners in Python: Work On 12+ Projects
- TensorFlow, Numpy, Pandas and Matplotlib libraries and frameworks
- Artificial Neural Networks
- Classification of images and binary data with artificial neural networks
- Detect objects in images
- Recognize numbers and letters in pictures
- Diagnosis of breast cancer with artificial intelligence and deep learning
- Development of artificial neural networks for predictive analysis
- Recurrent Neural Networks
- Long short-term memory or LSTM (pronounced LSTM)
- And …
Course specifications
Publisher: Udemy
Instructors: Vijay Gadhave
Language: English
Level: Introductory to Advanced
Number of Lessons: 106
Duration: 14 hours and 34 minutes
Course topics

Deep Learning for Beginners in Python: Work On 12+ Projects Prerequisites
Python Programming Basics
Pictures

Deep Learning for Beginners in Python: Work On 12+ Projects introduction video
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English subtitle
Quality: 720p
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Size
5.7 GB
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