About this course
Set up the TensorFlow environment and learn basic machine learning concepts.
Prerequisites & Readiness Check
2 Parts
- 1:00 Hr
Prerequisites for Mastering TensorFlow: Beginners
45 Min
TensorFlow Environment Setup Guide
15 Min
Chapter 1: Getting Started with TensorFlow
2 Parts
- 0:50 Hr
Introduction to Machine Learning
30 Min
Exercise: Setup and Simple Program
20 Min
Chapter 2: Working with Tensors
3 Parts
- 1:20 Hr
Tensor Basics
25 Min
Basic Operations
25 Min
Exercise: Perform Tensor Arithmetic for Scaling
30 Min
Chapter 3: Data Loading with tf.data
3 Parts
- 1:20 Hr
Introduction to tf.data
25 Min
Basic Preprocessing
25 Min
Exercise: Build a Data Preprocessing Pipeline
30 Min
Chapter 4: Building Neural Networks with Keras
3 Parts
- 1:20 Hr
Keras Sequential API
25 Min
Compiling and Summarizing
25 Min
Exercise: Construct a Simple Sequential Model
30 Min
Chapter 5: Training and Evaluating Models
3 Parts
- 1:35 Hr
Data Preparation
25 Min
Model Training
25 Min
Exercise: Train and Evaluate a Regression Model
45 Min
Chapter 6: Activation and Loss Functions
3 Parts
- 1:25 Hr
Activation Functions
20 Min
Loss Functions and Optimizers
20 Min
Exercise: Experiment with Loss and Optimizer
45 Min
Chapter 7: End-to-End Project
3 Parts
- 1:40 Hr
Project Setup
30 Min
Building and Training
30 Min
Exercise: MNIST Classification Project
40 Min
Chapter 8: Portfolio Building
3 Parts
- 1:10 Hr
Documenting Projects
20 Min
Sharing on GitHub
20 Min
Exercise: Create a Project README
30 Min
Capstone Projects
1 Parts
- 50:00 Hr
House Price Prediction with Regression
3000 Min
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