Machine Learning in Plain English·Aug 17, 2023Recurrent Neural Network — Lesson 7: Attention and Transformer ModelsProblem with Long Sequences in RNNs
Machine Learning in Plain English·Aug 15, 2023Recurrent Neural Network — Lesson 6: Embeddings and Word RepresentationsIntroduction to EmbeddingsA response icon1A response icon1
Machine Learning in Plain English·Aug 13, 2023Recurrent Neural Network — Lesson 5: Backpropagation Through Time (BPTT) and RNN TrainingUnderstanding BPTT: Unfolding Computation GraphsA response icon1A response icon1
Machine Learning in Plain English·Aug 11, 2023Recurrent Neural Network — Lesson 4: Advanced RNNs (GRU and LSTM)Introduction to Gated Recurrent Units (GRUs)A response icon2A response icon2
Machine Learning in Plain English·Aug 10, 2023Recurrent Neural Network — Lesson 3: Working and Mathematics of Vanilla RNNsWorking and Mathematics of Vanilla RNNsA response icon1A response icon1
Machine Learning in Plain English·Aug 8, 2023Recurrent Neural Network — Lesson 2: Understanding the RNN ArchitectureExplaining Hidden States
Machine Learning in Plain English·Aug 7, 2023Recurrent Neural Network — Lesson 1: Introduction to RNNsUnderstanding the Need for RNNs
Machine Learning in Plain English·Aug 6, 2023Convolutional Neural Network — Lesson 14: Advanced Topics in CNNsIntroduction to 3D Convolutional Networks
Machine Learning in Plain English·Aug 5, 2023Convolutional Neural Network — Lesson 13: Applications of CNNsImage Classification
Machine Learning in Plain English·Aug 4, 2023Convolutional Neural Network — Lesson 12: Training CNNsUnderstanding Backpropagation in CNNs
