Work on 12+ Projects 2021-8 – Download

Description

Deep Learning for Python Beginners: 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 the machine learning and 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 technologies that are very widely used in various industries such as automobile and autonomous vehicles, cat boots, object recognition and image recognition, virtual assistants, etc. The TensorFlow version 2 library integrates a range of different features that simplify the process of designing and manufacturing systems based on artificial intelligence and deep learning.

What you’ll learn in Deep Learning for Python Beginners: Work on 12+ Projects

  • Libraries and frameworks TensorFlow, Numpy, Pandas and Matplotlib
  • 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 analytics
  • Recurrent Neural Networks
  • Long-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: Work on 12+ Projects

Deep Learning for Python Beginners: Work on 12+ Projects

Basics of Python Programming

Pictures

Deep Learning for Python Beginners: Work on 12+ Projects

Deep Learning for Python Beginners: Introductory Video to Working on 12+ Projects

installation guide

After the clip, watch with your favorite reader.

english subtitles

Quality: 720p

Download link

Download part 1 – 2 GB

Download part 2 – 2 GB

Download Part 3 – 1.7 GB

File password(s): free download software

size

5.7 GB

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