TensorFlow - Hands-on Machine Learning with TensorFlow
- 4.1
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Brief Introduction
Learn TensorFlow by building multiple Machine Learning projects through a hands-on approach.Description
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.
Requirements
- Requirements
- Know the basics of Supervised Machine Learning.
- Know the basics of Deep Learning.
The Click Reader
4.1 Raiting
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