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| 002 Introduction-subtitle-en.srt | 5.6 KB | ||
| 002 Introduction.mp4 | 8.8 MB | ||
| 003 Where to get the Materials.html | 1.5 KB | ||
| 004 Some Additional Resources.html | 1.8 KB | ||
| 005 Welcome to Part 0 - Fundamentals of Reinforcement Learning.html | 2.9 KB | ||
| 006 Plan of Attack-subtitle-en.srt | 5.8 KB | ||
| 006 Plan of Attack.mp4 | 6.8 MB | ||
| 007 What is reinforcement learning-subtitle-en.srt | 18.8 KB | ||
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| 008 The Bellman Equation-subtitle-en.srt | 31.2 KB | ||
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| 016 Welcome to Part 1 - Self-Driving Car (Deep Q-Learning).html | 2.3 KB | ||
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| 018 Deep Q-Learning Intuition - Learning-subtitle-en.srt | 23 KB | ||
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| 021 Action Selection Policies-subtitle-en.srt | 24.8 KB | ||
| 021 Action Selection Policies.mp4 | 34.9 MB | ||
| 022 Plan of Attack (Practical Tutorials).html | 2 KB | ||
| 023 Where to get the Materials.html | 1.5 KB | ||
| 024 Windows Option 1 End-to-End installation steps.html | 2.6 KB | ||
| 025 Windows Option 2 - Part A Installing Ubuntu on Windows-subtitle-en.srt | 18.6 KB | ||
| 025 Windows Option 2 - Part A Installing Ubuntu on Windows.mp4 | 55.4 MB | ||
| 026 Windows Option 2 - Part B Installing PyTorch and Kivy on your Ubuntu VM.html | 1.7 KB | ||
| 027 Mac or Linux Installing Anaconda-subtitle-en.srt | 11.5 KB | ||
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| 028 Mac or Linux Installing PyTorch and Kivy-subtitle-en.srt | 10.3 KB | ||
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| 052 Challenge Solutions.html | 1.5 KB | ||
| 053 Welcome to Part 2 - Doom (Deep Convolutional Q-Learning).html | 2 KB | ||
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| 055 Deep Convolutional Q-Learning Intuition-subtitle-en.srt | 10.8 KB | ||
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| 056 Eligibility Trace-subtitle-en.srt | 13.2 KB | ||
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| 057 Where to get the Materials.html | 1.6 KB | ||
| 058 Installing Open AI Gym and ppaquette.html | 2.9 KB | ||
| 059 Installing Open AI Gym Walk Through (Mac Version)-subtitle-en.srt | 6.8 KB | ||
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| 059 OpenAI-Gym-Debug-Tips.pdf | 168.4 KB | ||
| 060 Common-Debug-Solutions-Doom.pdf | 65 KB | ||
| 060 Installing Open AI Gym Walk Through (Ubuntu Version)-subtitle-en.srt | 7.2 KB | ||
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| 079 Welcome to Part 3 - Breakout (A3C).html | 2 KB | ||
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| 086 Installing OpenCV.html | 1.5 KB | ||
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| 101 Breakout - Step 15.mp4 | 90.7 MB | ||
| 102 What is Deep Learning-subtitle-en.srt | 18.8 KB | ||
| 102 What is Deep Learning.mp4 | 28.4 MB | ||
| 103 Plan of Attack-subtitle-en.srt | 4.1 KB | ||
| 103 Plan of Attack.mp4 | 4.7 MB | ||
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| 104 The Neuron.mp4 | 28.8 MB | ||
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| 105 The Activation Function.mp4 | 14.5 MB | ||
| 106 How do Neural Networks work-subtitle-en.srt | 19.8 KB | ||
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| 107 How do Neural Networks learn-subtitle-en.srt | 19.7 KB | ||
| 107 How do Neural Networks learn.mp4 | 25.5 MB | ||
| 108 Gradient Descent-subtitle-en.srt | 14.6 KB | ||
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| 109 Stochastic Gradient Descent.mp4 | 16.3 MB | ||
| 110 Backpropagation-subtitle-en.srt | 7.4 KB | ||
| 110 Backpropagation.mp4 | 10.6 MB | ||
| 111 Plan of Attack-subtitle-en.srt | 5.4 KB | ||
| 111 Plan of Attack.mp4 | 5.8 MB | ||
| 112 What are convolutional neural networks-subtitle-en.srt | 22.9 KB | ||
| 112 What are convolutional neural networks.mp4 | 28.3 MB | ||
| 113 Step 1 - Convolution Operation-subtitle-en.srt | 24.1 KB | ||
| 113 Step 1 - Convolution Operation.mp4 | 29.9 MB | ||
| 114 Step 1(b) - ReLU Layer-subtitle-en.srt | 9.5 KB | ||
| 114 Step 1(b) - ReLU Layer.mp4 | 13.4 MB | ||
| 115 Step 2 - Pooling-subtitle-en.srt | 21.8 KB | ||
| 115 Step 2 - Pooling.mp4 | 33.5 MB | ||
| 116 Step 3 - Flattening-subtitle-en.srt | 2.6 KB | ||
| 116 Step 3 - Flattening.mp4 | 3.2 MB | ||
| 117 Step 4 - Full Connection-subtitle-en.srt | 29.6 KB | ||
| 117 Step 4 - Full Connection.mp4 | 40.2 MB | ||
| 118 Summary-subtitle-en.srt | 6.2 KB | ||
| 118 Summary.mp4 | 7.8 MB | ||
| 119 Softmax Cross-Entropy-subtitle-en.srt | 26.2 KB | ||
| 119 Softmax Cross-Entropy.mp4 | 32.6 MB | ||
| 120 YOUR SPECIAL BONUS.html | 3.3 KB | ||
| Read Me.txt | 102.4 B | ||
| Torrent_downloaded_from_Demonoid_-_www.demonoid.pw_.txt | 102.4 B | ||
| TutsGalaxy.com.txt | 0 B | ||
| external_links.txt | 102.4 B | ||
| ▲ 233 total files | |||
Requirements
Only High School Maths
Description
Learn key AI concepts and intuition training to get you quickly up to speed with all things AI. Covering:
How to start building AI with no previous coding experience using Python
How to merge AI with OpenAI Gym to learn as effectively as possible
How to optimize your AI to reach its maximum potential in the real world
Here is what you will get with this course:
1. Complete beginner to expert AI skills – Learn to code self-improving AI for a range of purposes. In fact, we code together with you. Every tutorial starts with a blank page and we write up the code from scratch. This way you can follow along and understand exactly how the code comes together and what each line means.
2. Code templates – Plus, you’ll get downloadable Python code templates for every AI you build in the course. This makes building truly unique AI as simple as changing a few lines of code. If you unleash your imagination, the potential is unlimited.
3. Intuition Tutorials – Where most courses simply bombard you with dense theory and set you on your way, we believe in developing a deep understanding for not only what you’re doing, but why you’re doing it. That’s why we don’t throw complex mathematics at you, but focus on building up your intuition in coding AI making for infinitely better results down the line.
4. Real-world solutions – You’ll achieve your goal in not only 1 game but in 3. Each module is comprised of varying structures and difficulties, meaning you’ll be skilled enough to build AI adaptable to any environment in real life, rather than just passing a glorified memory “test and forget” like most other courses. Practice truly does make perfect.
5. In-course support – We’re fully committed to making this the most accessible and results-driven AI course on the planet. This requires us to be there when you need our help. That’s why we’ve put together a team of professional Data Scientists to support you in your journey, meaning you’ll get a response from us within 48 hours maximum.
Who is the target audience?
Anyone interested in Artificial Intelligence, Machine Learning or Deep Learning
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 1.8 GB | freecoursewb | 4 weeks | 11 | 5 | |
| 1.8 GB | freecoursewb | 2 months | 13 | 11 | |
| 2 GB | freecoursewb | 2 months | 27 | 34 | |
| 1.9 GB | freecoursewb | 3 months | 5 | 3 | |
| 2 GB | freecoursewb | 4 months | 15 | 8 |
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