explanation
Unsupervised Deep Learning is Available in Python, namesake of a series of educational videos in the areas of science, data, and Python development. In this course, you will become familiar with the logic of machine learning. This is where you learn data science to help with Python and learn deep discoveries. In this course, we try to prepare you with the most basic content. This means that you choose this course as one of the times that your header will never miss, it is the most important and most original content you will learn from the first moment.
Are all the trainings provided step-by-step during this period ultimately using machines that limit Boltzmann, etc.? Deep neural networks, t-SNE and PCA were familiar. In practice, this period is considered a useful period. By watching this course accurately and completely, you will discover a very comprehensive and learnable automobile. This course is also recommended for individuals who really want to further improve their learning skills.
Of course, you can use unsupervised deep learning in Python.
- Understand PCA concepts and perform analysis, advanced
- An introduction to algorithms, PCA and how to use it in your work.
- Understand the theory of t-SNE and how to use it in coding.
- Knowledge of various constraints, PCA and t-SNE
- Learn how to automatically build encoders in Theano and Tensorflow.
- and…
Profile Course:
- Duration: 10 hours 26 minutes
- Language: English
- Number of seasons: 14
- Number of classes: 82
- Instructor: Lazy Programmer Team
During head season, you can use unsupervised deep learning in Python.
Optionally, you can use unsupervised deep learning in Python.
- Knowledge of calculus and linear algebra
- Python coding skills
- Some experience with Numpy, Theano and Tensorflow
- Learn how to use gradient descent to train machine learning models.
- Install Python, Numpy, and Theano
- Some knowledge of probability and statistics
- Coding feedforward neural networks in Theano or Tensorflow
image
sample video
installation manual
Custom view after extraction to player.
Subtitles: English
Quality: 720p
download link
Password file: free download software
file size
2.14GB