- From www.edx.org
Deep Learning with Python and PyTorch
- Self-paced
- Free Access
- Fee-based Certificate
- 6 Sequences
- Intermediate Level
Course details
Syllabus
Module 1 - Classification
- Softmax Regression
- Softmax in PyTorch Regression
- Training Softmax in PyTorch Regression
Module 2 - Neural Networks
- Introduction to Networks
- Network Shape Depth vs Width
- Back Propagation
- Activation functions
Module 3 - Deep Networks
- Dropout
- Initialization
- Batch normalization
- Other optimization methods
Module 4 - Computer Vision Networks
- Convolution
- Max Polling
- Convolutional Networks
- Pre-trained Networks
Module 5 - Computer Vision Networks
- Convolution
- Max Pooling
- Convolutional Networks
- Training your model with a GPU
- Pre-trained Networks
Module 6 Dimensionality reduction and autoencoders
- Principle component analysis
- Linear autoencoders
- Autoencoders
- Transfer learning
- Deep Autoencoders
Module 7 -Independent Project
Prerequisite
- Python & Jupyter notebooks
- Machine Learning concepts
- Deep Learning concepts
- https://www.edx.org/course/pytorch-basics-for-machine-learning
Instructors
Joseph Santarcangelo
PhD., Data Scientist
IBM
Editor
International Business Machines Corporation, known by its acronym IBM, is an American multinational computer hardware, software and services company.
The company was formed on 16 June 1911 from the merger of the Computing Scale Company and the Tabulating Machine Company under the name Computing Tabulating Recording Company (CTR). It changed its name to International Business Machines Corporation on 14 February 1924. It was given the nickname Big Blue in reference to the dark blue colour long associated with the company. In the 1970s and 1980s, IBM was the world's largest market capitalisation.
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