Description
Deep Learning for Beginners in Python: Work On 12+ Projects is a deep learning project-based course with the Python programming language published by Udemy Academy. This training course includes diverse 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., and during the course, a total of 12 projects You will work differently. Artificial intelligence and deep learning are two very widely used technologies that are used in various industries such as self-driving cars and vehicles, chatbots, recognition and recognition of objects in images, virtual assistants, etc. The TensorFlow library version 2 includes a set of different capabilities that simplify and speed up the process of designing and producing systems based on artificial intelligence and deep learning.
What you will learn in Deep Learning for Beginners in Python: Work On 12+ Projects course:
- TensorFlow, Numpy, Pandas and Matplotlib libraries and frameworks
- Artificial Neural Networks
- Classification and classification of images and binary data with artificial neural networks
- Recognition of objects in images
- Recognition of numbers and letters in images
- Breast cancer diagnosis with artificial intelligence and deep learning
- Development of artificial neural networks for predictive analysis
- Recurrent Neural Networks
- Long short-term memory or abbreviated LSTM (literally pronounced LSTM)
- And …
Course details
Publisher: Yudmi
teacher: Vijay Gadhave
English language
Training level: introductory to advanced
Number of courses: 106
Training duration: 14 hours and 34 minutes
Course headings
Course prerequisites
Python Programming Basics
Course images
Course introduction video
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
Password file(s): www.downloadly.ir
Size
5.7 GB