Intro to Deep Learning project in TensorFlow 2.x and Python [FREE]

January 16, 2022

Free Certification Course Title: Intro to Deep Learning project in TensorFlow 2.x and Python

Advanced implementation of regression modeling techniques like lasso regression in TensorFlow

What you’ll learn:

TensorFlow 2.0
Gradient Descent Algorithm
Create Pipeline regression model in TensorFlow
Lasso Regression
Feature Selection with lasso
Programming in TensorFlow 2.0
Selection of Penalty factor lambda
Visualizing graph in TensorBoard
Neuron or Perceptron Model Architecture
Loss or Cost Function
TensorFlow Keras API
Linear Regression
Create customized model in TensorFlow
Exploratory Data Analysis
Data Preprocessing
Multiple Linear Regression in TensorFlow

Requirements:

Beginner to Python

Who this course is for:

Anyone who wants to build and train their own network
Curious about data science
Who want to learn Deep Learning

Description:

Welcome to the Course Introduction to Deep Learning with TensorFlow 2.0:

In this course, you will learn the advanced linear regression technique process and with this, you can be able to build any regression problem. Using this you can solve real-world problems like customer lifetime value, predictive analytics, etc.

What you will Learn

· TensorFlow 2.x

· Google Colab

· Linear Regression

· Gradient Descent Algorithm

· Data Analysis

· Regression

· Feature Engineering and Selection with Lasso Regression.

· Model Evaluation

All the above-mentioned techniques are explained in TensorFlow. In this course, you will work on the Project Customer Revenue (Lifetime value) Prediction using Gradient Descent Algorithm