Hacker News
- Keras 3.0 https://keras.io/keras_3/ 75 comments
- Keras Core: Keras for TensorFlow, Jax, and PyTorch https://keras.io/keras_core/announcement/ 69 comments
- High-performance image generation using Stable Diffusion in KerasCV https://keras.io/guides/keras_cv/generate_images_with_stable_diffusion/ 86 comments
- [D] Keras 3.0 Announcement: Keras for TensorFlow, JAX, and PyTorch https://keras.io/keras_core/announcement/ 74 comments machinelearning
- CNN training slower than RNNs even with less number of parameters https://keras.io/examples/audio/ctc_asr/ 5 comments learnmachinelearning
- [P] High-performance image generation using Stable Diffusion in KerasCV https://keras.io/guides/keras_cv/generate_images_with_stable_diffusion/ 15 comments machinelearning
- [D] confusion about KL divergence in PPO (implementation confusion) https://keras.io/examples/rl/ppo_cartpole/ 4 comments reinforcementlearning
- [P] Keras Launches a Computer Vision Extension Package https://keras.io/keras_cv/ 6 comments machinelearning
- [D] Is it ok to promise a dataset in your paper, get published and then not release it? https://keras.io/examples/vision/nerf/ 47 comments machinelearning
- Keras throwing a labels shape mismatch error https://keras.io/examples/vision/deeplabv3_plus/ 5 comments computervision
- Loss is nan while validation accuracy stays consistent in semantic segmentation https://keras.io/examples/vision/deeplabv3_plus/ 15 comments computervision
- Scaling Images... [0, 1] or [-1, 1] ??? [D] https://keras.io/api/layers/preprocessing_layers/image_preprocessing/rescaling/ 8 comments deeplearning
- How to further improve validation accuracy in multiclass semantic segmentation https://keras.io/examples/vision/deeplabv3_plus/ 8 comments computervision
- [Discussion] Why does this code example on keras use linear activation function for dcgans discriminator? https://keras.io/examples/generative/gan_ada/#gan-tips-and-tricks 4 comments machinelearning
- [D] DDPG not converging were actor critic and DQN are - any advice? https://keras.io/examples/rl/ddpg_pendulum/ 16 comments reinforcementlearning
- EEG SIGNAL 1D CONVOLUTION OR 2D CONVOLUTION https://keras.io/examples/timeseries/timeseries_classification_from_scratch/ 4 comments deeplearning
- [Q] Considering transfer learning, why there are (very) large weight updates if the 'Dense' layers on top are randomly initialized while convolutional base stays frozen? https://keras.io/guides/transfer_learning/ 3 comments learnmachinelearning
- Training image classifier for a very specific task https://keras.io/examples/vision/image_classification_from_scratch/ 6 comments learnmachinelearning
- Anyone want to team up and work on a Deep Learning Crate for Rust similar to Keras? https://keras.io 45 comments rust
- [Keras] How much steps_per_epoch should I use if I apply data augmentation? https://keras.io/preprocessing/image/ 4 comments learnmachinelearning
- How do I get my X, y variables when I use .flow_from_directory(directory) for Keras? https://keras.io/preprocessing/image/ 4 comments learnmachinelearning
- What makes fine-tuning/transfer learning so immediately effective? https://keras.io/applications/ 3 comments learnmachinelearning
Linking pages
- GitHub - adblockradio/adblockradio: An adblocker for live radio streams and podcasts. Machine learning meets Shazam. https://github.com/adblockradio/adblockradio 274 comments
- What a Deep Neural Network thinks about your #selfie http://karpathy.github.io/2015/10/25/selfie/ 259 comments
- Machine Learning: The Great Stagnation - by Mark Saroufim https://marksaroufim.substack.com/p/machine-learning-the-great-stagnation 218 comments
- Keras or PyTorch as your first deep learning framework - deepsense.ai https://deepsense.ai/keras-or-pytorch/ 137 comments
- Advantages of Using R Notebooks For Data Analysis Instead of Jupyter Notebooks | Max Woolf's Blog http://minimaxir.com/2017/06/r-notebooks/ 122 comments
- Machine Learning for Beginners: An Introduction to Neural Networks - victorzhou.com https://victorzhou.com/blog/intro-to-neural-networks/ 109 comments
- GitHub - mikeroyal/Self-Hosting-Guide: Self-Hosting Guide. Learn all about locally hosting (on premises & private web servers) and managing software applications by yourself or your organization. Including ChatGPT, WireGuard, Automation, Home Assistant, and Networking. https://github.com/mikeroyal/Self-Hosting-Guide 108 comments
- Upgrade your desktop: Ubuntu 22.04.1 LTS is now available | Ubuntu https://ubuntu.com/blog/upgrade-your-desktop-ubuntu-22-04-lts 97 comments
- Sorting 2 Tons of Lego, The software Side · Jacques Mattheij http://jacquesmattheij.com/sorting-lego-the-software-side 94 comments
- GitHub - jisungk/deepjazz: Deep learning driven jazz generation using Keras & Theano! https://github.com/jisungk/deepjazz 90 comments
- TensorKart: self-driving MarioKart with TensorFlow http://kevinhughes.ca/blog/tensor-kart 79 comments
- Introducing Keras 2 https://blog.keras.io/introducing-keras-2.html 74 comments
- Your AI skills are worth less than you think | by Ryszard Szopa | Inside Inovo | Medium https://medium.com/inside-inovo/your-ai-skills-are-worth-less-than-you-think-e4b5640adb4f 74 comments
- A deep-learning search for technosignatures from 820 nearby stars | Nature Astronomy https://www.nature.com/articles/s41550-022-01872-z 70 comments
- Infrastructure for Deep Learning https://openai.com/blog/infrastructure-for-deep-learning/ 67 comments
- Machine Learning is Fun Part 8: How to Intentionally Trick Neural Networks | by Adam Geitgey | Medium https://medium.com/@ageitgey/machine-learning-is-fun-part-8-how-to-intentionally-trick-neural-networks-b55da32b7196 66 comments
- The Most In-Demand Skills for Data Scientists | by Jeff Hale | Towards Data Science https://towardsdatascience.com/the-most-in-demand-skills-for-data-scientists-4a4a8db896db 64 comments
- GitHub - mikeroyal/Apple-Silicon-Guide: Apple Silicon Guide. Learn all about the A16 Bionic, M1, M1 Pro, M1 Max, M1 Ultra, and M2 chips. Along with all the Devices, Operating Systems, Tools, and Software that Apple Silicon powers. https://github.com/mikeroyal/Apple-Silicon-Guide#getting-started-with-apple-silicon 59 comments
- Introducing TensorFlow.js: Machine Learning in Javascript | by TensorFlow | TensorFlow | Medium https://medium.com/tensorflow/introducing-tensorflow-js-machine-learning-in-javascript-bf3eab376db 44 comments
- GitHub - mikeroyal/Photogrammetry-Guide: Photogrammetry Guide. Learn all about the process of obtaining measurements and 3D models from photos. Creating topographic maps, meshes, or point clouds based on the real-world. https://github.com/mikeroyal/Photogrammetry-Guide 43 comments