Udemy – Deep Learning with Python and Keras 2018-12
Udemy – Deep Learning with Python and Keras 2018-12 Downloadly IRSpace
Super Admin
Deep Learning with Python and Keras is a tutorial from the Udemy site that introduces you to deep learning and teaches you how to create different models for images and text using the Python language and the Keras library. This course is designed for beginners and intermediate level programmers and those familiar with Python and helps them to learn deep learning techniques and apply them to various problems.
At the beginning of the course, you will be introduced to the basics of this science by learning a Deep Learning app, and you will also learn about machine learning tools and techniques. Then you learn artificial neural networks and learn how to use them in solving regression and classification problems. The tutor goes on to introduce various architectures such as recursive neural networks, torsional neural networks, and fully connected networks, explaining various theoretical and practical examples. At the end of the course you will be able to identify problems by deep learning and design different neural network models.
Courses taught in this course:
- Understanding deep learning
- Using deep learning to build predictable models
- Use deep learning in different applications
- Using Python and Keras to build deep learning models
- Solve various problems with the help of deep learning
- Practicing and running models in the cloud using GPUs
- Estimation of training costs for large models
Deep Learning with Python and Keras course specifications:
- English language
- Duration: 9 hours 56 minutes
- Number of lessons: 148
- Level of education: Intermediate
- Instructor: Data Weekends, Jose Portilla, Francesco Mosconi
- File format: mp4
Course headings
148 lectures 09:56:50
Welcome to the course!
8 lectures 37:12
Date
18 lectures 01:04:58
Machine Learning
22 lectures 02:04:11
Deep Learning Intro
17 lectures 01:16:39
Gradient Descent
26 lectures 01:45:14
Convolutional Neural Networks
23 lectures 01:20:33
Cloud GPUs
2 lectures 1:14
Recurrent Neural Networks
13 lectures 45:13
Improving performance
19 lectures 01:01:41
Course prerequisites
- Knowledge of Python, familiarity with flow control (if / else, for loops) and pythonic constructs (functions, classes, iterables, generators)
- Use of bash shell (or equivalent command prompt) and basic commands to copy and move files
- Basic knowledge of linear algebra (what is a vector, what is a matrix, how to calculate dot product)
- Use of ssh to connect to a cloud computer
Pictures
Sample movie
Installation guide
View with your favorite Player after Extract.
Subtitle: Has
Quality: 720p
download link
Size
1.63 GB
