Neural Networks / Deep Learning
4.0
(4)
40 learners
What you'll learn
This course includes
- 10.5 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 30 lessons • 10.5 hours of video
Neural Networks / Deep Learning
30 lessons
• 9.5 hours
Neural Networks / Deep Learning
30 lessons
• 9.5 hours
- The Chain Rule, Clearly Explained!!! 18:24
- Gradient Descent, Step-by-Step 23:54
- Neural Networks Pt. 2: Backpropagation Main Ideas 17:34
- Backpropagation Details Pt. 1: Optimizing 3 parameters simultaneously. 18:32
- Backpropagation Details Pt. 2: Going bonkers with The Chain Rule 13:09
- Neural Networks Pt. 3: ReLU In Action!!! 08:58
- Neural Networks Pt. 4: Multiple Inputs and Outputs 13:50
- Neural Networks Part 5: ArgMax and SoftMax 14:03
- The SoftMax Derivative, Step-by-Step!!! 07:13
- Neural Networks Part 6: Cross Entropy 09:31
- Neural Networks Part 7: Cross Entropy Derivatives and Backpropagation 22:08
- Neural Networks Part 8: Image Classification with Convolutional Neural Networks (CNNs) 15:24
- Word Embedding and Word2Vec, Clearly Explained!!! 16:12
- Sequence-to-Sequence (seq2seq) Encoder-Decoder Neural Networks, Clearly Explained!!! 16:50
- Attention for Neural Networks, Clearly Explained!!! 15:51
- Transformer Neural Networks, ChatGPT's foundation, Clearly Explained!!! 36:15
- Decoder-Only Transformers, ChatGPTs specific Transformer, Clearly Explained!!! 36:45
- Encoder-Only Transformers (like BERT) for RAG, Clearly Explained!!! 18:52
- Tensors for Neural Networks, Clearly Explained!!! 09:40
- Essential Matrix Algebra for Neural Networks, Clearly Explained!!! 30:01
- The matrix math behind transformer neural networks, one step at a time!!! 23:43
- The StatQuest Introduction to PyTorch 23:22
- Introduction to Coding Neural Networks with PyTorch and Lightning 20:43
- Long Short-Term Memory with PyTorch + Lightning 33:24
- Word Embedding in PyTorch + Lightning 32:02
- Coding a ChatGPT Like Transformer From Scratch in PyTorch 31:11
- Reinforcement Learning with Neural Networks: Essential Concepts 24:00
- Reinforcement Learning with Neural Networks: Mathematical Details 25:01
- Reinforcement Learning with Human Feedback (RLHF), Clearly Explained!!! 18:02
- Happy Halloween (Neural Networks Are Not Scary) 00:59
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