Problems with rnnRNNs (Recurrent Neural Networks) have some problems that can affect their performance: Forgetting Distant Information: RNNs struggle to remember information from earlier steps in long sequences, making it difficult for them to capture long-term depe...Jun 21, 2023·1 min read
Keras functional apiKeras Functional API is a way to build more complex models in Keras that go beyond the simple sequential model structure. It allows creating models with multiple inputs and outputs, shared layers, and more flexible architectures. Instead of the linea...Jun 21, 2023·1 min read
What is transfer learning?Transfer learning is a machine learning technique where knowledge gained from one task is applied to another related task. It involves using a pretrained model, trained on a large dataset, as a starting point for a new task. The pretrained model's le...Jun 21, 2023·1 min read
What does a cnn see?In simple words, a CNN (Convolutional Neural Network) "sees" or interprets visual information by analyzing patterns and features at different levels of abstraction. At the initial layers, the CNN captures low-level features like edges and textures. A...Jun 21, 2023·1 min read
Pretrained model in cnnPretrained models are used because they offer a shortcut to building accurate models. They are already trained on massive datasets, learning rich patterns and representations. By using pretrained models, we can save time and effort required for train...Jun 21, 2023·2 min read
Data AugmentationData augmentation is a technique used to expand and diversify a training dataset by applying various modifications to existing data. These modifications can include flipping, rotation, cropping, scaling, adding noise, or adjusting brightness and cont...Jun 21, 2023·1 min read
Backpropagation in cnnBackpropagation in CNN (Convolutional Neural Networks) is an algorithm used to train the network by adjusting the weights and biases based on the error calculated during the forward pass. It involves two main steps: forward pass and backward pass. Du...Jun 21, 2023·1 min read
