Machine Learning in Plain EnglishRecurrent Neural Network — Lesson 7: Attention and Transformer ModelsProblem with Long Sequences in RNNsAug 17, 2023Aug 17, 2023
Machine Learning in Plain EnglishRecurrent Neural Network — Lesson 6: Embeddings and Word RepresentationsIntroduction to EmbeddingsAug 15, 2023Aug 15, 2023
Machine Learning in Plain EnglishRecurrent Neural Network — Lesson 5: Backpropagation Through Time (BPTT) and RNN TrainingUnderstanding BPTT: Unfolding Computation GraphsAug 13, 20231Aug 13, 20231
Machine Learning in Plain EnglishRecurrent Neural Network — Lesson 4: Advanced RNNs (GRU and LSTM)Introduction to Gated Recurrent Units (GRUs)Aug 11, 20232Aug 11, 20232
Machine Learning in Plain EnglishRecurrent Neural Network — Lesson 3: Working and Mathematics of Vanilla RNNsWorking and Mathematics of Vanilla RNNsAug 10, 20231Aug 10, 20231
Machine Learning in Plain EnglishRecurrent Neural Network — Lesson 2: Understanding the RNN ArchitectureExplaining Hidden StatesAug 8, 2023Aug 8, 2023
Machine Learning in Plain EnglishRecurrent Neural Network — Lesson 1: Introduction to RNNsUnderstanding the Need for RNNsAug 7, 2023Aug 7, 2023
Machine Learning in Plain EnglishConvolutional Neural Network — Lesson 14: Advanced Topics in CNNsIntroduction to 3D Convolutional NetworksAug 6, 2023Aug 6, 2023
Machine Learning in Plain EnglishConvolutional Neural Network — Lesson 13: Applications of CNNsImage ClassificationAug 5, 2023Aug 5, 2023
Machine Learning in Plain EnglishConvolutional Neural Network — Lesson 12: Training CNNsUnderstanding Backpropagation in CNNsAug 4, 2023Aug 4, 2023
