
Hi everyone! I'm Pragyan, a data scientist at The Click Reader and welcome to this course on TensorFlow.
Learn how to install and import TensorFlow in Python.
Learn about Scalar and Tensors.
Create Scalar and Tensors in TensorFlow.
Learn the different ways to create Tensors in TensorFlow.
Learn how to perform Tensor operations in TensorFlow.
Welcome to the first Machine Learning project of this course using TensorFlow.
Build and train a Linear Regression model from Scratch using TensorFlow.
Welcome to the second Machine Learning project of this course using TensorFlow.
Build and train a Linear Regression model using the Sequential Model in TensorFlow.
Welcome to the third and final Machine Learning project of this course using TensorFlow.
Build and train a Logistic Regression model using the Sequential Model in TensorFlow.
Build and train a Deep Neural Network Classifier using TensorFlow.
Link to additional learning materials.
Learn how to build Machine Learning projects in this TensorFlow Course created by The Click Reader.
In this course, you will be learning about Scalar as well as Tensors and how to create them using TensorFlow. You will also be learning how to perform various kinds of Tensor operations for manipulating and changing tensor values.
You will be performing a total of three Machine Learning projects while learning through this TensorFlow full course:
1. Linear Regression from Scratch
You will be learning how to create a Linear Regression model from scratch using TensorFlow. You will be preparing the data, building the model architecture as well as training the model using a custom-made loss function as well as an optimizer.
2. Linear Regression using a Sequential Model
You will be learning how to create a Linear Regression model using a Sequential Model with TensorFlow. You will be preparing the data, building the model architecture, training the model, viewing the change in the loss as well as build a multi-input regressor.
3. Logistic Regression using a Sequential Model
You will be learning how to create a Logistic Regression model using a Sequential Model with TensorFlow. You will be preparing the data, building the model architecture, training the model as well as build a deep neural network classifier.