3 min read
Concatenate two layers using keras.layers.concatenate() example
The Wide & Deep neural network architecture was introduced in a 2016 paper by Heng-Tze Cheng et al.16. It is a nonsequential neural network, it
Tag : Keras
3 min read
PyTorch AdamW and Adam with weight decay optimizers
Adam optimizer become a default method of choice for training feed-forward and recurrent neural networks. Adam does not generalize as well as SGD
3 min read
Differences between Learning Rate and Weight Decay Hyperparameters in Neural networks.
The conventional method is to perform a grid or a random search, which can be computationally expensive and time-consuming. In addition, the effects
4 min read
How to detect Overfitting and Underfitting using Training and Validation Loss?
Overgeneralizing is something that we humans do all too often. Machines can fall into the overgeneralizing if we are not careful. It means that the
3 min read
Use Image Dataset from Directory with and without Label List in Keras
Keras model cannot directly process raw data. The data has to be converted into a suitable format to enable the model to interpret. For example, the
4 min read
What is the ideal batch size for the Keras Neural network?
How many samples do you want to load at once that is what batch size is. Let’s just look at a closer look at the batch size. It’s not just how
What does model.evaluate() return in keras?
Once you have trained a model, you don’t want to just “hope” it generalizes to new cases. You want to evaluate it and fine-tune it if
5 min read
Advantages of ReLU vs Tanh vs Sigmoid activation function in deep neural networks.
In any particular layer, we have the data coming in then we multiply by weight and then we’ll pass this through an activation function for
6 min read
Top 6 Open Source AI and ML Tools
Artificial intelligence (AI) and machine learning (ML) are becoming more widespread. According to McKinsey, 44% of businesses report that AI helped
12 min read
COVID-19 Risk Assessment App Pandemonium Uses AnyChart for Data Visualization
We continue to support initiatives addressing the pandemic crisis by providing them with a full-featured free license for any of our data
When to use “categorical_accuracy vs sparse_categorical_accuracy” in Keras
Keras accuracy metrics are functions that are used to evaluate the performance of your deep learning model. Keras provides a rich pool of inbuilt
1 min read
How to deactivate dropout layers while evaluation and prediction mode in Keras?
Your network can never rely on any given activation to be present because they might be squashed at any given moment. It is forced to learn a
6 min read
An Introduction to Keras Preprocessing Layers
Posted by Matthew Watson, Keras Developer Determining the right feature representation for your data can be one of the trickiest parts of building a
1 min read
Computer Graphics and Deep Learning with NeRF using TensorFlow and Keras: Part 3
Table of Contents Computer Graphics and Deep Learning with NeRF using TensorFlow and Keras: Part 3 Configuring Your Development Environment Having
20 min read
Computer Graphics and Deep Learning with NeRF using TensorFlow and Keras: Part 3
Table of Contents Computer Graphics and Deep Learning with NeRF using TensorFlow and Keras: Part 3 Configuring Your Development Environment Having