Tonton / Neural Networks / Deep Learning Soal ML → Happy Halloween (Neural Networks Are Not Scary) The Essential Main Ideas of Neural Networks The Chain Rule, Clearly Explained!!! Gradient Descent, Step-by-Step Neural Networks Pt. 2: Backpropagation Main Ideas Backpropagation Details Pt. 1: Optimizing 3 parameters simultaneously. Backpropagation Details Pt. 2: Going bonkers with The Chain Rule Neural Networks Pt. 3: ReLU In Action!!! Neural Networks Pt. 4: Multiple Inputs and Outputs Neural Networks Part 5: ArgMax and SoftMax The SoftMax Derivative, Step-by-Step!!! Neural Networks Part 6: Cross Entropy Neural Networks Part 7: Cross Entropy Derivatives and Backpropagation Neural Networks Part 8: Image Classification with Convolutional Neural Networks (CNNs) Recurrent Neural Networks (RNNs), Clearly Explained!!! Long Short-Term Memory (LSTM), Clearly Explained Word Embedding and Word2Vec, Clearly Explained!!! Sequence-to-Sequence (seq2seq) Encoder-Decoder Neural Networks, Clearly Explained!!! Attention for Neural Networks, Clearly Explained!!! Transformer Neural Networks, ChatGPT's foundation, Clearly Explained!!! Decoder-Only Transformers, ChatGPTs specific Transformer, Clearly Explained!!! Encoder-Only Transformers (like BERT) for RAG, Clearly Explained!!! Reinforcement Learning with Neural Networks: Essential Concepts Reinforcement Learning with Neural Networks: Mathematical Details Reinforcement Learning with Human Feedback (RLHF), Clearly Explained!!! Tensors for Neural Networks, Clearly Explained!!! Essential Matrix Algebra for Neural Networks, Clearly Explained!!! The matrix math behind transformer neural networks, one step at a time!!! The StatQuest Introduction to PyTorch Introduction to Coding Neural Networks with PyTorch and Lightning Long Short-Term Memory with PyTorch + Lightning Word Embedding in PyTorch + Lightning Coding a ChatGPT Like Transformer From Scratch in PyTorch
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