What knowledge and skills will you acquire by the end of this course?
Understand modern Deep Learning technology
Implement image classification AI models with Python
Set up infrastructure required for AI model development
Understand pros and cons of various deep learning frameworks
1 Introduction to AI
2 AI infrastructure management
2 Links
3 Linux for AI
3 Links
4 Python for AI
4 img_view.py
5 Introduction to TensorFlow
5 Conda environments manual
5 t1.py
5 exercise.py
6 Introduction to deep learning
7 Introduction to Keras
7 Data
7 validation.txt
7 Final code
8 Image classification 1
8 mnist_classification.py
8 mnist_classification_tensorflow2.py
9 Image classification 2
9 cifar10_classification_NN.py
9 cifar10_classification_CNN.py
9 cifar10_classification_DCNN.py
10 Image classification 3
10 Links
10 caltech101_classification.py
11 Introduction to computer vision
12 Introduction to PyTorch
12 Installing PyTorch
12 cifar10_pytorch.py
We strongly advise you to have basic knowledge of Python programming before taking this course. You can take our Introduction to Python course!
Don't worry. We will teach you from what AI is. No need for experience or knowledge in AI.
In this course, you will build a few Image Classification models using Keras and PyTorch, which are common frameworks used by a lot of industries.
We will walk you through to process of installing everything you need and setting up the environment. So don't worry!
