In this Neural Networks Tutorial, we will Train a Neural Network and Make Predictions on data that it has not seen before. We will try to train on a simplified dataset of a vaccine trial and predict if the patient has side effects or not.
In this Neural Networks Tutorial, we will Train a Neural Network and Make Predictions on data that it has not seen before. We will try to train on a simplified dataset of a vaccine trial and predict if the patient has side effects or not. We will talk about how to train the neural network and see the training process epoch after epoch. At the end of the video, we will do the actual predictions and visualize the results in a confusion matrix. I'll also show you how you can save a Neural Network and its Weights with Keras for further development or deployment later on.
The code example is available on my GitHub: https://github.com/niconielsen32
Keras vs Tensorflow - Learn the differences between Keras and Tensorflow on basis of Ease to use, Fast development,Functionality,flexibility,Performance etc
This video on TensorFlow and Keras tutorial will help you understand Deep Learning frameworks, what is TensorFlow, TensorFlow features and applications, how TensorFlow works, TensorFlow 1.0 vs TensorFlow 2.0, TensorFlow architecture with a demo. Then we will move into understanding what is Keras, models offered in Keras, what are neural networks and they work.
We will go over what is the difference between pytorch, tensorflow and keras in this video. Pytorch and Tensorflow are two most popular deep learning frameworks. Pytorch is by facebook and Tensorflow is by Google. Keras is not a full fledge deep learning framework, it is just a wrapper around Tensorflow that provides some convenient APIs.
Keras Tutorial - Learn Keras Introduction, installation, Keras Features, Applications of Keras, Keras Layers, Keras models and keras visualize training.
🔵 Intellipaat Artificial Intelligence Master's Course: https://intellipaat.com/artificial-intelligence-masters-training-course/🔵 In this video on Keras, ...