Knowledge is Power

AI Free Basic Course | Lecture 24 | Basics of Convolutional Neural Network (CNN) In the last lecture importance and value of neural networks was discussed. We are targeting the high value projects having value above 30,000/-. It is advised that you must not directly into these projects. You need to set goals and move systematically towards it. You have to decide from where I am going to start. It can either be prompt engineering or any other field. In order to achieve your goal, allocate a specific portion of your day towards achievement of these goals. The way to move forward were asked by people from non-technical background. My response to them is that you need not understand everything. We must know the difference between functionalities of Artificial Neural Network (ANN) and Convolutional Neural Network (CNN) CNN). We must understand the reasons why the tasks that could not be performed by Artificial Neural Network (ANN) can be performed by Convolutional Neural Network (CNN) ( C...

  Assignment -11 -Building a Neural Network with TensorFlow and Bekerja Keras STEP-1 Loading Required packages and  Data ###1. Load Data and Splot Data from tensorflow.keras.datasets import mnist from tensorflow.keras.datasets import fashion_mnist from tensorflow.keras.models import Sequential from tensorflow.keras.layers import Dense from tensorflow.keras.utils import to_categorical import matplotlib.pyplot as plt   from tensorflow. keras. datasets import mnist The mnist module provides the MNIST dataset, which is a collection of 60,000 28x28 grayscale images of handwritten digits, along with a test set of 10,000 images. After loading the dataset, you can preprocess the data, build neural networks, and train models for tasks like digit recognition or other image-related tasks. From tensorflow. keras. datasets import...