Mnemo Major System Trainer vs Learn Keras Programming

The Major System is an effective method for encoding numbers into images. Using this mnemonic technique, remembering a sequence of numbers is highly improved compared to simple memorization. (Synonyms: Major System, Master System, Digit Code according to Aimée Paris, Phonetic System, conversione fonetica etc.).  The Mnemo Major System Trainer allows you to create a personalised Major System for the mnemonics Major System. With the help of the integrated training programme - the trainer - the Major System can be quickly learned and further optimised. For this purpose, a traffic light system of reaction times to queried terms is used, which effectively exposes sub-optimally selected images and allows rapid optimisation in the development of one's own Major System. A summary overview of the reaction times - here called statistics - additionally supports this process. In addition to the master system, trainer and statistics, the generator was added as a further component, which enables the translation of arbitrarily long numerical sequences into the images of the major system. To further facilitate the process of creating your own major system, a ready-made major system for the number range 00 - 99 has been integrated. In addition, a list of alternative terms that satisfy the rules of the major system was added to each term. Attention: The selected images are to be understood as examples and logically cannot be the optimal memory image for everyone. (In ancient times, for example, teachers of mnemonics refrained from giving their students ready-made mnemonic systems. The students were supposed to develop their own systems. Even then, it was known that one's own associations facilitate memorisation). Features: INTUITIVELY DESIGNED LEARNING PROGRAM • Multiple training possibilities • Question mode for images or numbers • Training with major system terms instead of pictures • Free selection of the number range to be learned with optional restrictions to specific reaction time ranges, questions answered incorrectly or not yet processed terms • Training level indicator PREINSTALLED MAJOR SYSTEM • Major System Terms and selected images for the numbers 0 – 99 and 00 – 09 • Major System Terms for the numbers 000 – 999 • Freely customizable • Comprehensive collection of alternative Major System Terms • Choice of alternative images (camera, photo album, integrated web search for images) • Color codes for response times in the main view of the Major System • Cards view (comfortable learning like using file cards) • Optional extension to the three-digit major system (the trainer and the generator automatically use the chosen system: 2 or 3 digits) • Build optional major systems (in addition to the German, English and Italian Major System three custom major systems can be build) • CSV Import and Export • Import and export (incl. pictures) in Mnemo file format GENERATOR • Major System encoding for any numerical sequence • Possibility of adding notes • Saves any number of encodings • Settings (hide the notes field, hide the pictures, one or multiple terms per line) • Supports the Person – Action – Object (PAO) System (uses the optional master systems Custom 1, 2 and 3 alternately) Terms of Use: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/ Privacy Policy: https://glab-apps.com/privacy.html

Keras is relatively easy to learn and work with because it provides a python frontend with a high level of abstraction while having the option of multiple back-ends for computation purposes. This makes Keras slower than other deep learning frameworks, but extremely beginner-friendly. Keras is an API designed for human beings, not machines. Keras follows best practices for reducing cognitive load: it offers consistent & simple APIs, it minimizes the number of user actions required for common use cases, and it provides clear & actionable error messages. It also has extensive documentation and developer guides. Keras is the most used deep learning framework among top-5 winning teams on Kaggle. Because Keras makes it easier to run new experiments, it empowers you to try more ideas than your competition, faster. And this is how you win. Built on top of TensorFlow 2, Keras is an industry-strength framework that can scale to large clusters of GPUs or an entire TPU pod. It's not only possible; it's easy. Take advantage of the full deployment capabilities of the TensorFlow platform. You can export Keras models to JavaScript to run directly in the browser It's also easy to serve Keras models as via a web API. Keras is a central part of the tightly-connected TensorFlow 2 ecosystem, covering every step of the machine learning workflow, from data management to hyperparameter training to deployment solutions. Keras is used by CERN, NASA, NIH, and many more scientific organizations around the world (and yes, Keras is used at the LHC). Keras has the low-level flexibility to implement arbitrary research ideas while offering optional high-level convenience features to speed up experimentation cycles. Because of its ease-of-use and focus on user experience, Keras is the deep learning solution of choice for many university courses. It is widely recommended as one of the best ways to learn deep learning. Keras API reference Models API The Model class The Sequential class Model training APIs Model saving & serialization APIs Layers API The base Layer class Layer activations Layer weight initializers Layer weight regularizers Layer weight constraints Core layers Convolution layers Pooling layers Recurrent layers Preprocessing layers Normalization layers Regularization layers Attention layers Reshaping layers Merging layers Locally-connected layers Activation layers Callbacks API Base Callback class ModelCheckpoint BackupAndRestore TensorBoard EarlyStopping LearningRateScheduler ReduceLROnPlateau RemoteMonitor LambdaCallback TerminateOnNaN CSVLogger ProgbarLogger