TensorFlow 2 Beginner Course
Overview
This course aims to teach beginners everything they need to know to get started with TensorFlow 2.0, a deep learning framework. The course consists of 11 lessons covering topics such as Tensor basics, Neural Networks, Linear Regression, CNN, Save & Load, Functional API, Classification Project, Transfer Learning, RNN/LSTM/GRU, and NLP Project. By the end of the course, learners will have hands-on experience with the Keras API and be able to write cleaner code using TensorFlow for various deep learning tasks. The teaching method includes hands-on projects interspersed throughout the lessons. This course is intended for individuals interested in deep learning, TensorFlow, and building neural networks, with no prior experience required.
Syllabus
- Intro
- 1 Installation
- 2 Tensor Basics
- 3 Neural Net
- 4 Linear Regression
- 5 CNN
- 6 Save & Load
- 7 Functional API
- 8 Classification Project
- 9 Transfer Learning
- 10 RNN / LSTM / GRU
- 11 NLP Project
Taught by
Python Engineer