Udemy - Deep Learning A-Z™: Hands-On Artificial Neural Networks
- CategoryOther
- TypeTutorials
- LanguageEnglish
- Total size3.3 GB
- Uploaded Byfcs0310
- Downloads1386
- Last checkedJun. 13th '18
- Date uploadedFeb. 20th '18
- Seeders 5
- Leechers5
Infohash : 1BA37FF8E61A71396B51FDBF3F2FF72CC071B0B8
Udemy - Deep Learning A-Z™: Hands-On Artificial Neural Networks
Artificial intelligence is growing exponentially. There is no doubt about that. Self-driving cars are clocking up millions of miles, IBM Watson is diagnosing patients better than armies of doctors and Google Deepmind's AlphaGo beat the World champion at Go - a game where intuition plays a key role.
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Files:
[FreeCourseSite.com] Udemy - Deep Learning A-Z™ Hands-On Artificial Neural Networks 01 Welcome to the course- 001 What is Deep Learning.mp4 (31.3 MB)
- 002 Installing Python.mp4 (20.4 MB)
- 003 How to get the dataset.mp4 (6.5 MB)
- 004 BONUS Meet Your Instructors.html (1.5 KB)
- 005 Welcome to Part 1 - Artificial Neural Networks.html (0.8 KB)
- 006 Plan of Attack.mp4 (4.7 MB)
- 007 The Neuron.mp4 (29.6 MB)
- 008 The Activation Function.mp4 (14.8 MB)
- 009 How do Neural Networks work.mp4 (23.5 MB)
- 010 How do Neural Networks learn.mp4 (26.6 MB)
- 011 Gradient Descent.mp4 (18.5 MB)
- 012 Stochastic Gradient Descent.mp4 (16.8 MB)
- 013 Backpropagation.mp4 (10.9 MB)
- 014 Prerequisites.html (1.7 KB)
- 015 How to get the dataset.mp4 (6.5 MB)
- 016 Business Problem Description.mp4 (16.4 MB)
- 017 Building an ANN - Step 1.mp4 (24.3 MB)
- 018 Building an ANN - Step 2.mp4 (45.9 MB)
- 019 Building an ANN - Step 3.mp4 (8.4 MB)
- 020 Building an ANN - Step 4.mp4 (6.0 MB)
- 021 Building an ANN - Step 5.mp4 (29.6 MB)
- 022 Building an ANN - Step 6.mp4 (7.1 MB)
- 023 Building an ANN - Step 7.mp4 (9.0 MB)
- 024 Building an ANN - Step 8.mp4 (18.2 MB)
- 025 Building an ANN - Step 9.mp4 (16.9 MB)
- 026 Building an ANN - Step 10.mp4 (17.4 MB)
- 027 Homework Instruction.html (0.9 KB)
- 028 Homework Solution.mp4 (37.6 MB)
- 029 Evaluating the ANN.mp4 (55.8 MB)
- 030 Improving the ANN.mp4 (19.8 MB)
- 031 Tuning the ANN.mp4 (50.8 MB)
- 032 Homework Instruction.html (0.7 KB)
- 033 Welcome to Part 2 - Convolutional Neural Networks.html (0.7 KB)
- 034 Plan of attack.mp4 (5.9 MB)
- 035 What are convolutional neural networks.mp4 (29.5 MB)
- 036 Step 1 - Convolution Operation.mp4 (31.0 MB)
- 037 Step 1b - ReLU Layer.mp4 (14.1 MB)
- 038 Step 2 - Pooling.mp4 (40.2 MB)
- 039 Step 3 - Flattening.mp4 (3.3 MB)
- 040 Step 4 - Full Connection.mp4 (42.7 MB)
- 041 Summary.mp4 (7.9 MB)
- 042 Softmax Cross-Entropy.mp4 (33.2 MB)
- 043 How to get the dataset.mp4 (6.5 MB)
- 044 Introduction to CNNs.mp4 (7.8 MB)
- 045 Building a CNN - Step 1.mp4 (19.2 MB)
- 046 Building a CNN - Step 2.mp4 (5.9 MB)
- 047 Building a CNN - Step 3.mp4 (2.2 MB)
- 048 Building a CNN - Step 4.mp4 (27.2 MB)
- 049 Building a CNN - Step 5.mp4 (9.9 MB)
- 050 Building a CNN - Step 6.mp4 (9.7 MB)
- 051 Building a CNN - Step 7.mp4 (12.6 MB)
- 052 Building a CNN - Step 8.mp4 (6.8 MB)
- 053 Building a CNN - Step 9.mp4 (46.9 MB)
- 054 Building a CNN - Step 10.mp4 (20.5 MB)
- 055 Homework Instruction.html (1.1 KB)
- 056 Homework Solution.mp4 (41.0 MB)
- 057 Homework Challenge - Get the gold medal.html (1.2 KB)
- 058 Homework Challenge Solution - Get the gold medal.html (0.5 KB)
- 059 Welcome to Part 3 - Recurrent Neural Networks.html (1.4 KB)
- 060 Plan of attack.mp4 (4.2 MB)
- 061 The idea behind Recurrent Neural Networks.mp4 (37.3 MB)
- 062 The Vanishing Gradient Problem.mp4 (29.0 MB)
- 063 LSTMs.mp4 (46.0 MB)
- 064 Practical intuition.mp4 (52.8 MB)
- 065 EXTRA LSTM Variations.mp4 (7.3 MB)
- 066 Ethical Disclosure.mp4 (18.3 MB)
- 067 How to get the dataset.mp4 (6.5 MB)
- 068 Building a RNN - Step 1.mp4 (30.3 MB)
- 069 Building a RNN - Step 2.mp4 (8.0 MB)
- 070 Building a RNN - Step 3.mp4 (9.1 MB)
- 071 Building a RNN - Step 4.mp4 (12.0 MB)
- 072 Building a RNN - Step 5.mp4 (6.9 MB)
- 073 Building a RNN - Step 6.mp4 (11.2 MB)
- 074 Building a RNN - Step 7.mp4 (4.2 MB)
- 075 Building a RNN - Step 8.mp4 (7.7 MB)
- 076 Building a RNN - Step 9.mp4 (7.9 MB)
- 077 Building a RNN - Step 10.mp4 (6.7 MB)
- 078 Building a RNN - Step 11.mp4 (19.0 MB)
- 079 Building a RNN - Step 12.mp4 (18.2 MB)
- 080 Summary Next Steps.html (2.4 KB)
- 081 Homework Instruction.html (0.7 KB)
- 082 Homework Solution.mp4 (15.0 MB)
- 083 Evaluating the RNN.mp4 (13.2 MB)
- 084 Improving and Tuning the RNN - Homework Challenge.html (2.3 KB)
- 085 Improving and Tuning the RNN - Solution.html (2.9 KB) attached_files 085 Improving and Tuning the RNN - Solution
- Homework-Challenge.zip (665.1 KB)
- 086 Welcome to Part 4 - Self Organizing Maps.html (0.7 KB)
- 087 Plan of attack.mp4 (5.2 MB)
- 088 How do Self-Organizing Maps Work.mp4 (20.0 MB)
- 089 Why revisit K-Means.mp4 (4.0 MB)
- 090 K-Means Clustering Refresher.mp4 (25.0 MB)
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