Keras Alternatives

Reviews and mentions

• Data Science with JavaScript: What we've learned so far?
  news.ycombinator.com | 2021-09-09
• Top 10 Python Libraries for Machine Learning
  dev.to | 2021-09-09

  Website: https://keras.io/ Github Repository: https://github.com/keras-team/keras Developed By: various Developers, initially by Francois Chollet Primary purpose: Focused on Neural Networks

• [D] Getting Started
  reddit.com/r/SubSimulatorGPT2 | 2021-09-07

  I also recommend trying to understand the software that's being built by the machine learning class. If you want to build your own machine learning software, check out Keras (http://keras.io/) and the machine learning API's that Keras provides.

• JAX - COMPARING WITH THE BIG ONES
  reddit.com/r/CryptocurrencyICO | 2021-09-06

  These four points lead to an enormous differentiation in the ecosystem: Keras, for example, was originally thought to be almost completely focused on point (4), leaving the other tasks to a backend engine. In 2015, on the other hand, Autograd focused on the first two points, allowing users to write code using only "classic" Python and NumPy constructs, providing subsequently many options for point (2). Autograd's simplicity greatly influenced the development of the libraries to follow, but it was penalized by the clear lack of the points (3) and (4), i.e. adequate techniques to speed up the code and sufficiently abstract modules for neural network development.

• What are the icons used in the banner of this subreddit?
  reddit.com/r/learnmachinelearning | 2021-09-05

  Keras

• Is Keras Captcha OCR from keras.io good code for OCR? After executing the code I am not able to pass "new" image to actually receive my prediction because this model is expecting 2 values (image and label) but this time I have only image and I want to receive label. I thought that is OCR after all?
  reddit.com/r/learnpython | 2021-08-25

  I guess that is because the tutorial code from keras.io example is passing to the model two things, image and label. But this time I want to get the label out of passed image, since this is OCR as far as I understand? :P

  reddit.com/r/learnpython | 2021-08-25

  u/Spataner I temporarily dropped that code and I just added methods from keras.io "split_data", "encode_single_sample", "decode_batch_predictions" and all the other fragments of code that was needed. I loaded saved model in place of trained "model". I copied character set and set length of labels to 6 and I left rest the same as it was (so image modifications, image sizes etc.) everything is the same.

• Help! I need to make a LSTM for a classification problem
  reddit.com/r/deeplearning | 2021-08-20

  Sounds like your data is in a good shape which is one of the most important parts. Since it also sounds like you are new to deep learning or recurrent networks, why not opt for a simple framework like Keras?

• Here is why Pytorch is more Pythonic than Tensorflow.
  dev.to | 2021-07-27

  They both implement Artificial Neural Networks the same way. Thanks to Keras we can say that TensorFlow is quite beginner-friendly. Pytorch can be quite intimidating at first partly because you have to define your own training loop. This is great if you are a researcher because you can easily take control of the entire process. With TensorFlow, you can also define your own training loop too which is pretty much the same as PyTorch. As you go deeper into both frameworks you may start seeing the difference between both of them. If you read any article or listen to an expert on deep learning they usually say stuff like PyTorch is more pythonic but how.

• A-Z on gaining research experience during undergrad
  reddit.com/r/gradadmissions | 2021-07-12

  Participating in Open Source Initiatives - This is a rather recent path. Participating in the development of open-source software for research offers unparalleled networks opportunities along with both research and software development skills. Contributing to platforms like HuggingFace, Keras, TensorFlow, Pytorch, etc are some of the most common examples.

• Implementing Vision Transformers using Tensorflow. Help needed
  reddit.com/r/learnmachinelearning | 2021-06-27

  Thank you! I've made the changes you've suggested and have defined input_shape = (32,32,3) and num_classes = 10. and after doing that I run into the same AttributeError as you. The code I've provided is all the code I'm working with. the way it is set up is that the first cell of the colab notebook is in a file called model.py and the second cell in a file called train.py . I've called the VisionTransformer class of model.py in train.py using the line from model import VisionTransformer ( this class call isn't there in the colab notebook as it's not needed). I've been closely following this keras.io tutorial (https://keras.io/examples/vision/image_classification_with_vision_transformer/) Thanks again

• [Project] I'm trying to implement StyleGAN2 in Keras to better understand its structure and just AAAAAAAA
  reddit.com/r/learnmachinelearning | 2021-05-17
• Machine Learning HomeLab
  reddit.com/r/homelab | 2021-04-26

  Python and Keras are the path I would take for starters.

• Machine learning for a theoretical physicist
  reddit.com/r/Physics | 2021-04-24

  Not specific to physics, but I've used Python's scikit-learn to do some basic vector/image classification problems. It's pretty easy to get something very basic up and running using their examples. Familiarity with numpy helps. Similarly, for more "deep learning" stuff, the keras library was also relatively easy to use, maybe a bit more involved than sklearn, if only because there's a lot of new terminology.

• Input Data Shape in Sequence-to-Sequence Model
  reddit.com/r/tensorflow | 2021-04-18

  I'm currently programming a seq2seq model for text chunking. I will use Keras seq2seq ( https://github.com/keras-team/keras/blob/master/examples/lstm_seq2seq.py ) as the base and then modify it. But I have a question regarding the input data. More specifically, the shape.