Description
Deep Learning for Beginners in Python: Work On 12+ Projects is a project-based deep learning program based on the Python programming language, published by Udemy Academy. This training covers varied and scattered topics such as machine learning and the artificial intelligence library TensorFlow version 2, 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, assistants virtual, etc. The TensorFlow Version 2 library incorporates a range of different capabilities that simplify the process of designing and building systems based on artificial intelligence and deep learning.
What You’ll 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
- Breast cancer diagnosis using 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
Editor: Udemy
Instructors: Vijay Gadhave
French language
Level: Introductory to Advanced
Number of lessons: 106
Duration: 14 hours and 34 minutes
Course topics
Deep Learning for Python Beginners: Working on 12+ Projects
Fundamentals of Python Programming
Pictures
Deep Learning for Python Beginners: Work On 12+ Projects Intro Video
Installation guide
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english subtitle
Quality: 720p
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File password(s): ngaur.com
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5.7 GB