Image Recognition with Neural Networks From Scratch
- 4.5
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Brief Introduction
Write An Image Recognition Program in PythonDescription
This is an introduction to Neural Networks. The course explains the math behind Neural Networks in the context of image recognition. By the end of the course, we will have written a program in Python that recognizes images without using any autograd libraries. The only prerequisite is some high school precalculus. Although the prerequisite is minimal, we will discuss many advanced topics including:
1) functions and their computational graphs.
2) neural networks
3) conceptually understand the derivative and the gradient.
4) gradient descent and backpropagation
5) the multivariable chain rule
6) mini-batch gradient descent
Requirements
- Requirements
- Some basic knowledge of Python.(Supplemental "Crash Course" resources are provided to review/learn Python.)
- Some basics knowledge of Numpy.(Supplemental "Crash Course" resources to review/learn Numpy.)
- Some high school precalculus.
Long Nguyen
4.5 Raiting
Deep Learning: Recurrent Neural Networks in Python
- 4.6
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GRU, LSTM, Time Series Forecasting, Stock Predictions, Natural Language Processing (NLP) using Artificial Intelligence *** NOW IN TENSORFLOW 2 and PYTHON 3 *** Learn about one of the most powerful Deep Learning architectures yet!...
Deep Learning with Caffe 2 - Hands On!
- 3.5
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Build, train & deploy models using the speed & efficiency of Caffe 2 & get future-ready in the world of deep learning...
Deep Learning with Keras and Tensorflow in R
- 0.0
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Learn to use convolutional neural networks for image recognition, character recognition and accurate predictions. It’s a hands-on approach on deep learning in R using convolutional neural networks....
Applied AI with DeepLearning
- 4.4
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>>> By enrolling in this course you agree to the End User License Agreement as set out in the FAQ. The Specialization will be ready late spring, early summer 2018...
