TensorFlow tf.reshape(): Reshape tensors in TensorFlow In this article, we have explored the idea of Reshaping tensors in TensorFlow with tf.reshape() and which models like GoogleNet use it.
TensorFlow Graphs in TensorFlow (tf.Graph) In this article, we have explored the idea of Graphs in TensorFlow in depth along with details of how to convert function (tf.function) to graph (tf.Graph).
TensorFlow Visualizing Neural Network Models in TensorFlow In this article, we have explored the approach to visualize Neural Network Models in TensorFlow. We have explored how to use TensorBoard.
TensorFlow Initializing Tensors in TensorFlow In this article, we have explored the idea of Tensors in TensorFlow, different types of tensor and how to initialize and use them.
Machine Learning (ML) MatMul in TensorFlow In this article, we have explored MatMul operation in TensorFlow (tf.linalg.matmul()) and have presented a sample TensorFlow Python code performing MatMul (Matrix Multiplication).
Machine Learning (ML) EfficientDet model architecture In this article, we have explored EfficientDet model architecture which is a modification of EfficientNet model and is used for Object Detection application.
Machine Learning (ML) Understanding Inception-ResNet V1 architecture In this article, we have explored the architecture of Inception-ResNet v1 model and understand the need for the model.
Machine Learning (ML) Swish Activation Function In this article, we have explored Swish Activation Function in depth. This was developed by Researchers at Google as an alternative to Rectified Linear Unit (ReLu).
Machine Learning (ML) Exponential Linear Unit (ELU) Exponential Linear Unit (ELU) is an activation function which is an improved to ReLU. We have explored ELU in depth along with pseudocode.
Python Working with CSV files in Python In this article, we have presented how to work with CSV files (Comma Separated Values) in Python like reading CSV files and processing the information stored in it. We have presented the ideas with Python code examples with output.