Description
Deep Learning with Python and Keras is a course from Udemy that introduces you to deep learning and teaches you how to build different models for images and text using Python and the Keras library. This course is designed for beginner and intermediate level programmers and those who are familiar with Python and helps them learn deep learning techniques well and use them to solve various problems.
At the beginning of the course, you will get familiar with the basics of this science by viewing a Deep Learning application and you will also get to know the tools and techniques of machine learning. Then you learn artificial neural networks and learn how to use them to solve regression and classification problems. In the following, the lecturer of the course introduces various architectures such as recurrent neural networks, convolutional neural networks, and fully connected networks and explains various examples of them theoretically and practically. At the end of the course, you will be able to identify solutions to problems through deep learning and design different neural network models.
Items taught in this course:
- Familiarity with deep learning
- Using deep learning to build predictive models
- Using deep learning in different applications
- Using Python and Keras To build deep learning models
- Solving various problems with the help of deep learning
- Training and execution of models in the cloud using GPU
- Estimating training costs for large models
Details of Deep Learning with Python and Keras course:
- English language
- Duration: 9 hours and 56 minutes
- Number of courses: 148
- Education level: 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
Data
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 01:14
Recurrent Neural Networks
13 lectures 45:13
Improving performance
19 lectures 01:01:41
Course prerequisites
- Knowledge of Python, familiarity with control flow (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 video
Installation guide
After extracting, watch with your favorite player.
Subtitle: Yes
Quality: 720p
download link
Password file(s): www.downloadly.ir
Size
1.63 GB
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