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 wtfleming.github.io
Cats vs Dogs - Part 1 - 92.8% Accuracy - Binary Image Classification with Keras and Deep Learning
| | jaketae.github.io
Convolutional Neural Network with Keras - Jake Tae
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| | Recently, a friend recommended me a book, Deep Learning with Python by Francois Chollet. As an eager learner just starting to fiddle with the Keras API, I decided it was a good starting point. I have just finished the first section of Part 2 on Convolutional Neural Networks and image processing. My impression so far is that the book is more focused on code than math. The apparent advantage of this approach is that it shows readers how to build neural networks very transparently. It's also a good introduction to many neural network models, such as CNNs or LSTMs. On the flip side, it might leave some readers wondering why these models work, concretely and mathematically. This point notwithstanding, I've been enjoying the book very much so far, and this post is...
| | glowingpython.blogspot.com
The Glowing Python: Solving the Two Spirals problem with Keras
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| | In this post we will see how to create a Multi Layer Perceptron (MLP), one of the most common Neural Network architectures, with Keras. Then...
| | web.navan.dev
Creating a Custom Image Classifier using Tensorflow 2.x and Keras for Detecting Malaria
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| | Tutorial on creating an image classifier model using TensorFlow which detects malaria
| | igorstechnoclub.com
Week 5 in Data Science: Image recognition neural network with 90% accuracy - a trivial task | Igor's Techno Club
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| This week I learned something that finally made "transfer learning" click. I had always heard that you can hit strong accuracy fast by reusing a pretrain...