Download [ FreeCourseWeb ] Udemy - Finally GET Deep Learning torrent

[ FreeCourseWeb ] Udemy - Finally GET Deep Learning

Torrent:	[ FreeCourseWeb ] Udemy - Finally GET Deep Learning
Description:	Finally "GET" Deep Learning MP4 \| Video: h264, 1280x720 \| Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning \| Language: English + srt \| Duration: 55 lectures (9h 39m) \| Size: 1.9 GB Get An Intuitive Understanding of Deep Learning What you'll learn: Develop an intuitive understanding of Deep Learning Visual and intuitive understanding of core math concepts behind Deep Learning Detailed view of how exactly deep neural networks work beneath the hood Computational graphs (which libraries like PyTorch and Tensorflow are built on) Build neural networks from scratch using PyTorch and PyTorch Lightening You’ll be ready to explore the cutting edge of AI and more advanced neural networks like CNNs and Transformers You'll be able to understand what deep learning experts are talking about in articles and interviews You’ll be able to start experimenting with your own AI projects using PyTorch Requirements Basic Python programming knowledge Highschool math Description Are you afraid of getting started with Deep Learning because it sounds too technical? Have you been watching Deep Learning videos, but still don’t feel like you “get” it? Download More Courses Visit and Support Us -->> https://FreeCourseWeb.com
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Show Files »	[ FreeCourseWeb.com ] Udemy - Finally GET Deep Learning Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 01 Deep learning - the big picture 001 Introduction.en.srt (7.0 KB) 001 Introduction.mp4 (72.0 MB) 002 What is Machine Learning exactly_.en.srt (8.3 KB) 002 What is Machine Learning exactly_.mp4 (12.4 MB) 002 lecture1.pdf (351.0 KB) 003 Different types of machine learning_ supervised, unsupervised, and reinforcement.en.srt (17.8 KB) 003 Different types of machine learning_ supervised, unsupervised, and reinforcement.mp4 (25.9 MB) 003 lecture2.pdf (1.3 MB) 004 The big picture.en.srt (7.4 KB) 004 The big picture.mp4 (24.3 MB) 004 lecture2_2.pdf (88.9 KB) 005 Deep neural network as features and weights.en.srt (12.0 KB) 005 Deep neural network as features and weights.mp4 (32.7 MB) 005 lecture2_3.pdf (486.3 KB) 006 Loss functions and training vs inference.en.srt (12.3 KB) 006 Loss functions and training vs inference.mp4 (35.8 MB) 006 lecture2_4.pdf (1,004.4 KB) 007 Why deep learning is unintuitive and how to get good at it.en.srt (10.6 KB) 007 Why deep learning is unintuitive and how to get good at it.mp4 (14.1 MB) 007 lecture2_5.pdf (760.1 KB) 008 How to make neural networks feel intuitive.en.srt (8.6 KB) 008 How to make neural networks feel intuitive.mp4 (18.3 MB) 008 lecture2_6.pdf (1.5 MB) 009 Course overview.en.srt (10.0 KB) 009 Course overview.mp4 (13.8 MB) 009 lecture2_7.pdf (931.7 KB) 02 Reinventing deep neural network from scratch 001 Linear regression and MSE loss.en.srt (11.4 KB) 001 Linear regression and MSE loss.mp4 (18.0 MB) 002 Numerical analysis - a.k.a. “trial-and-error”.en.srt (10.9 KB) 002 Numerical analysis - a.k.a. “trial-and-error”.mp4 (18.8 MB) 003 Network view.en.srt (17.8 KB) 003 Network view.mp4 (45.3 MB) 004 Perceptrons.en.srt (10.2 KB) 004 Perceptrons.mp4 (15.5 MB) 005 The “Deep” in deep learning.en.srt (12.0 KB) 005 The “Deep” in deep learning.mp4 (25.1 MB) 006 Activation Function.en.srt (12.0 KB) 006 Activation Function.mp4 (17.5 MB) 007 Overparameterization and overfitting.en.srt (10.9 KB) 007 Overparameterization and overfitting.mp4 (20.0 MB) 008 Linear Algebra detour.en.srt (19.7 KB) 008 Linear Algebra detour.mp4 (33.1 MB) 009 Vectorization (= parallelization).en.srt (14.3 KB) 009 Vectorization (= parallelization).mp4 (29.3 MB) 010 Scalability and emergent properties.en.srt (13.3 KB) 010 Scalability and emergent properties.mp4 (25.4 MB) 010 lecture3.pdf (1.3 MB) 011 Recap of the forward pass and brief introduction to backward pass.en.srt (6.7 KB) 011 Recap of the forward pass and brief introduction to backward pass.mp4 (11.3 MB) 011 lecture4.pdf (751.9 KB) 012 lecture5.pdf (863.8 KB) 013 lecture6.pdf (934.7 KB) 014 lecture7.pdf (1.2 MB) 015 lecture8.pdf (899.8 KB) 016 lecture9.pdf (988.9 KB) 017 lecture10.pdf (838.4 KB) 018 lecture11.pdf (1,002.8 KB) 019 lecture12.pdf (846.3 KB) 020 lecture13.pdf (525.4 KB) 03 How the model learns on its own - Back Propagation algorithm deep-div 001 The back propagation algorithm.en.srt (8.4 KB) 001 The back propagation algorithm.mp4 (14.4 MB) 002 Calculus detour.en.srt (18.4 KB) 002 Calculus detour.mp4 (37.1 MB) 003 Calculus detour II.en.srt (10.5 KB) 003 Calculus detour II.mp4 (15.9 MB) 004 Gradient descent.en.srt (24.5 KB) 004 Gradient descent.mp4 (101.0 MB) 005 Calculus detour - partial derivatives and gradient descent.en.srt (11.7 KB) 005 Calculus detour - partial derivatives and gradient descent.mp4 (42.1 MB) 006 Calculus detour - the Chain Rule.en.srt (21.0 KB) 006 Calculus detour - the Chain Rule.mp4 (38.2 MB) 007 Calculus detour - the Chain Rule II.en.srt (22.0 KB) 007 Calculus detour - the Chain Rule II.mp4 (36.4 MB) 008 Computational graph I - forward pass.en.srt (9.0 KB) 008 Computational graph I - forward pass.mp4 (15.1 MB) 009 Computational graph II - backward pass.en.srt (14.1 KB) 009 Computational graph II - backward pass.mp4 (48.1 MB) 010 Computational graph III - backward pass II.en.srt (15.1 KB) 010 Computational graph III - backward pass II.mp4 (63.5 MB) 011 Computational graph IV - backward pass III.en.srt (24.4 KB) 011 Computational graph IV - backward pass III.mp4 (82.7 MB) 012 Forward and backward pass recap and wrap up.en.srt (13.6 KB) 012 Forward and backward pass recap and wrap up.mp4 (46.0 MB) 022 lecture15.pdf (1.3 MB) 023 lecture15_2.pdf (844.1 KB) 024 lecture16.pdf (929.5 KB) 025 lecture17.pdf (1.3 MB) 026 lecture18.pdf (1.4 MB) 027 lecture18_2.pdf (1.2 MB) 028 lecture19.pdf (503.6 KB) 029 lecture20.pdf (592.6 KB) 030 lecture20_2.pdf (578.1 KB) 031 lecture21.pdf (1.1 MB) 032 lecture22.pdf (1.2 MB) 04 How to make neural networks work in reality 001 Vanishing gradient problem.en.srt (21.7 KB) 001 Vanishing gradient problem.mp4 (38.3 MB) 002 Vanishing gradient solutions I.en.srt (18.0 KB) 002 Vanishing gradient solutions I.mp4 (22.4 MB) 003 Vanishing gradient solutions II.en.srt (10.3 KB) 003 Vanishing gradient solutions II.mp4 (17.5 MB) 004 Stochastic and mini-batch gradient descent.en.srt (22.7 KB) 004 Stochastic and mini-batch gradient descent.mp4 (39.6 MB) 005 Other optimizers I.en.srt (13.7 KB) 005 Other optimizers I.mp4 (33.3 MB) 006 Other optimizers II.en.srt (7.8 KB) 006 Other optimizers II.mp4 (11.6 MB) 007 Hyperparameter tuning strategie files
Added:	2021-07-12 11:08:41
Language:	English
Peers:	Seeders : 2 , Leechers : 6
Release name:	[ FreeCourseWeb ] Udemy - Finally GET Deep Learning
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