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TensorFlow 2 Beginner Course

Offered By: Python Engineer via YouTube

Tags

TensorFlow Courses Deep Learning Courses Neural Networks Courses Linear Regression Courses Convolutional Neural Networks (CNN) Courses Recurrent Neural Networks (RNN) Courses Long short-term memory (LSTM) Courses Transfer Learning Courses

Course Description

Overview

Dive into a comprehensive 3-hour course on TensorFlow 2.0, designed for beginners. Master the fundamentals of this powerful deep learning framework through 11 hands-on lessons, including projects that utilize the Keras API. Learn essential concepts such as tensor basics, neural networks, linear regression, and convolutional neural networks (CNNs). Explore advanced topics like transfer learning, recurrent neural networks (RNNs), long short-term memory (LSTM), and gated recurrent units (GRUs). Gain practical experience with a classification project and a natural language processing (NLP) project. Discover how to save and load models, and leverage the Functional API for more flexible model architectures. By the end of this course, acquire the skills necessary to start building your own deep learning models using TensorFlow 2.0.

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

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