Building a Simple Neural Network
[latexpage] Until now, we have mostly used custom functions to build and train a model. However, building more complicated neural …
Tutorial
Logistic Regression in TensorFlow 2.0
[latexpage] In the previous chapter, we predicted a continuously-valued label using linear regression. In this chapter, we will discuss logistic …
Linear Regression in TensorFlow 2.0
[latexpage] In this chapter, we will be using TensorFlow 2.0 to implement one of the most fundamental machine learning algorithms: …
Tensor and Tensor Operations in TensorFlow 2.0
[latexpage] In this chapter, you will get introduced to tensors and their operations in TensorFlow 2.0. A tensor is a …
Installing TensorFlow 2.0
In this chapter, you will learn to install TensorFlow 2.0 on your local machine. TensorFlow 2.0 is tested and supported …
What is TensorFlow 2.0?
TensorFlow is one of the most widely used open-source library for machine learning and deep learning applications built by Google. …
Introduction – TensorFlow 2.0 for Deep Learning
Welcome to this course on TensorFlow 2.0 for Deep Learning! In this course, you will be learning all about the …
Training a Convolutional Neural Network
The training process of a Convolutional Neural Network is also similar to that of training a Dense Neural Network. The …
Building a Convolutional Neural Network
[latexpage] By now we have gained all the basic knowledge required for building a Convolutional Neural Network. Now, it is …
Padding an Image
[latexpage] In some cases, it is not possible to perform a convolution/pooling operation on an image if the dimension of …
