| 1. Introduction to Numpy.mp4 | 29.9 MB | ||
| 1. IntroductionWhat Is Self-Supervised Machine Learning (ML).mp4 | 12.3 MB | ||
| 1. What is Supervised Learning.mp4 | 72.5 MB | ||
| 1. What is Unsupervised Learning.mp4 | 28.8 MB | ||
| 10. Convolutional Autoencoders-Encoding.mp4 | 65.4 MB | ||
| 11. Convolutional Autoencoders-Decoding.mp4 | 49 MB | ||
| 2. Data and Code.html | 102.4 B | ||
| 2. Theory Behind ANN and DNN.mp4 | 97.2 MB | ||
| 2. Theory Behind Autoencoders.mp4 | 60.5 MB | ||
| 2. What Is Pandas.mp4 | 74.9 MB | ||
| 3. Basic Data Cleaning With Pandas.mp4 | 34.4 MB | ||
| 3. Python Installation.mp4 | 42.6 MB | ||
| 3. The Link Between Self-Supervised Machine Learning (ML) and Autoencoders.mp4 | 18 MB | ||
| 3. What Are Activation Functions.mp4 | 87.5 MB | ||
| 4. Basics of Data Visualisation.mp4 | 73.9 MB | ||
| 4. Introduction To Convolutional Neural Networks (CNN).mp4 | 176 MB | ||
| 4. Lets Implement a Basic Auto-Encoder With H20.mp4 | 58.3 MB | ||
| 4. Start With Google Colaboratory Environment.mp4 | 40.4 MB | ||
| 5. Google Colabs and GPU.mp4 | 30.2 MB | ||
| 5. Variational Autoencoder (VAE) With H2O.mp4 | 36.6 MB | ||
| 6. Installing Packages In Google Colab.mp4 | 28.6 MB | ||
| 6. What Is Denoising.mp4 | 47.1 MB | ||
| 7. Autoencode the Image Data With H2O.mp4 | 39.5 MB | ||
| 7. Install H2O In Colab.mp4 | 28.6 MB | ||
| 8. Denoise the Data with H2O.mp4 | 25.1 MB | ||
| 8. Installing H2O Locally.mp4 | 15.5 MB | ||
| 9. Autoencoders With Keras Deep Learning.mp4 | 68.3 MB | ||
| 9. Course details.mp4 | 36.6 MB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 30 total files | |||
Unleashing Unlabelled Data: Self-Supervised Learning
https://FreeCourseWeb.com
Published 7/2023
Created by Minerva Singh
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 28 Lectures ( 2h 33m ) | Size: 1.34 GB
Master the Power of Unlabelled Data: Self-Supervised Machine Learning Techniques in Python for Artificial Intelligence
What you'll learn
Understanding the concepts behind basic machine learning tasks, including clustering and classification
Learn about the uses of self-supervised machine learning
Implement self-supervised machine learning frameworks such as autoencoders using Python
Learn about deep learning frameworks such as Keras and H2O
Requirements
Basic Python data science concepts
Basic Python syntax
Understanding of the Colab environment
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 468.7 MB | freecoursewb | 11 months | 12 | 1 | |
| 2.8 GB | freecoursewb | 1 year | 0 | 1 | |
| 3.9 GB | freecoursewb | 2 years | 2 | 1 | |
|
Udemy - Python for Advanced Ethical Hacking - Unleashing the Dark Side Posted by
freecoursewb in Other
|
339.4 MB | freecoursewb | 2 years | 2 | 0 |
| 421.9 MB | freecoursewb | 2 years | 1 | 0 |
All Comments