Deep Learning with Python
- 2.8 Hours of Video
- Certificate of Completion
- Project Files
- Closed Captions
- On-demand, 24/7 access
- 2.8 hours of video
- Certificate of completion
- Project files and PDF notes
- Closed captions
This course has been deprecated and is no longer supported. For our latest courses on machine learning, consider subscribing to our evergreen curriculums with a subscription package.
In this course we’ll be building a Convolutional Neural Network to classify hand-written digits. By using this neural network we’ll achieve higher accuracy in this classification compared to that of a normal neural network. The way this network works is by using convolutions and filters, where the values of the kernels of our filters are actually learned by the program.
- Deep Learning
- Convolutional Neural Networks
- Convolutional Layer
- Pooling Layer
- Hyperparameter Tuning
- Visualizing convolution
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- This course builds up on the concepts covered in our course Create a Handwriting Recognition AI with TensorFlow.
- Python 3 is used in this course.
- If you are new to Python, we recommend that you take the Python Computer Vision Mini-Degree before attempting this course.
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