Yacine Betoucheyacinebetouche.hashnode.dev·Sep 18, 2023An Introduction to Batch NormalizationIntroduction In machine learning projects, it's common practice to normalize input data during preprocessing before feeding it into a model. This normalization process enhances training speed and mitigates issues like exploding gradients. Normalizati...Discuss·1 likeAI
Rhythm Rawatrhythmblogs.hashnode.dev·Sep 16, 2023Detecting Sign Language in Real-Time: A Deep Learning ProjectSign language is a crucial means of communication for millions of people around the world. Building technologies that can interpret sign language can greatly enhance accessibility and inclusion. In this project, we developed a real-time sign language...DiscussTensorFlow
Luis Jose Mendez mendezluisjose.hashnode.dev·Aug 31, 2023Sign Language Detection Model with TensorFlow, Keras, OpenCV and Mediapipe 🖐️Computer Vision Sign Language Detection Model with TensorFlow, Keras, OpenCV and Mediapipe This Computer Vision Model, detects the letters of the Sign Language. It can recognize the letters "A", "B", "L", "H" and "O". The Model was trained with more ...DiscussComputer Vision
Arthur Kazaarthurkaza.hashnode.dev·Aug 30, 2023Swift and TensorFlow crushAt the 2018 TensorFlow Dev Summit, Chris Lattner unveiled Swift for TensorFlow. The Google team published its first update to the public audience on their GitHub repository on April 27, 2018. Swift for TensorFlow, meanwhile, is still in its infancy. ...Discuss·11 likes·31 readsDiscovering Machine Learning with TensorFlow Swift
Arthur Kazaarthurkaza.hashnode.dev·Aug 30, 2023Collaborative ML with TensorBoard.devCollaboration is a key aspect of Machine and Deep Learning and it requires sharing the details such as visualizing the models, understanding biases of the model, etc. TensorBoard, a TensorFlow visualization toolkit, is frequently used to display and ...Discuss·21 likes·31 readsProductivity AI Boost with Google AI PlatformTensorboard
Luis Jose Mendez mendezluisjose.hashnode.dev·Aug 29, 2023Binary Tumor Classification Model with TensorFlow, Streamlit and Convolutional Neural NetworksMulti - Classification Model with TensorFlow and CNN The Binary Model predicts if a given Tumor Image is either Malignant or Benign. The Model uses the CNN Architecture, built with TensorFlow. Check-it out Test it by running the app.py file, built wi...DiscussTensorFlow
JuanPengmorningpeng.hashnode.dev·Aug 26, 2023How to create a transfer learning model (two methods)In convolutional neural networks, to reach the best accuracy and generalization ability, we need to test many experiments, adding layers or hidden units and so on. Sometimes it will take a lot of time and it can be just a random guess. But one thing ...DiscussMachine Learning
Nuruddeen Sambonuruddeen.hashnode.dev·Aug 26, 2023How to save and load models in TensorFlowNote: This article assumes you have a working knowledge of machine learning and the Tensorflow and Keras framework. If you just want to get right into saving and loading models, you can skip the next 3 paragraphs Statistics have shown that more than ...DiscussTensorFlow
Kenneth Akpocoderofph.hashnode.dev·Aug 26, 2023Exploring the Power of TensorFlow: A Deep Dive into a Cutting-Edge AI FrameworkIntroduction In the rapidly evolving landscape of artificial intelligence and machine learning, one technology stands out as a cornerstone of innovation: TensorFlow. Developed by the Google Brain team, TensorFlow has revolutionized the way we build, ...DiscussData Science
Arthur Kazaarthurkaza.hashnode.dev·Aug 23, 2023Taking advantage of TensorBoard Part IIntroduction TensorBoard is a powerful open-source tool developed by Google as part of the TensorFlow project. It allows machine learning engineers and researchers to understand, debug, and optimize machine learning models simply by providing visual ...Richard Dushime and 1 other are discussing this2 people are discussing thisDiscuss·20 likes·37 readsDiscovering Machine Learning with TensorFlow TensorFlow
