- Instructor: Joseph Benbow
- Lectures: 25
- Students: 514
- Duration: 10 weeks
TensorFlow is an open source machine learning framework for all developers. It is used for implementing machine learning and deep learning applications. To develop and research on fascinating ideas on artificial intelligence, Google team created TensorFlow. TensorFlow is designed in Python programming language, hence it is considered an easy to understand framework.
Audience
This course by Academy Europe has been prepared for python developers who focus on research and development with various machine learning and deep learning algorithms. The aim of this tutorial is to describe all TensorFlow objects and methods.
Prerequisites
Before proceeding with this tutorial, you need to have a basic knowledge of any Python programming language. Knowledge of artificial intelligence concepts will be a plus point.
Curriculum
- 25 Sections
- 25 Lessons
- 10 Weeks
- TensorFlow - Introduction1
- TensorFlow - Installation1
- Understanding Artificial Intelligence1
- TensorFlow - Mathematical Foundations1
- Machine Learning and Deep Learning1
- TensorFlow - Basics1
- TensorFlow - Convolutional Neural Networks1
- TensorFlow - Recurrent Neural Networks1
- TensorFlow - TensorBoard Visualization1
- TensorFlow - Word Embedding1
- TensorFlow - Single Layer Perceptron1
- TensorFlow - Linear Regression1
- TensorFlow - TFLearn And Its Installation1
- TensorFlow - CNN And RNN Difference1
- TensorFlow - Keras1
- TensorFlow - Distributed Computing1
- TensorFlow - Exporting1
- TensorFlow - Multi-Layer Perceptron Learning1
- TensorFlow - Hidden Layers of Perceptron1
- TensorFlow - Optimizers1
- TensorFlow - XOR Implementation1
- TensorFlow - Gradient Descent Optimization1
- TensorFlow - Forming Graphs1
- Image Recognition using TensorFlow1
- Recommendations for Neural Network Training1
