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Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.
10 spots per session maximum — 9 already taken
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Don't let this gap widen
Without mastering Keras for deep learning, developers and data scientists waste up to 3x more time on neural network prototyping and debugging, stalling projects indefinitely.
In fact, 70% of AI initiatives fail to reach production due to inefficient implementation, costing businesses an average of $300,000 per failed model deployment.
This exposes your company to lost market share, as competitors launch AI solutions 50% faster, while your career risks obsolescence amid surging demand for Keras-proficient experts.
Every delayed month amplifies these losses in the hyper-competitive AI landscape.
The Master Keras for Deep Learning: Practical Training for Professionals training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
To ensure the quality of the Master Keras for Deep Learning: Practical Training for Professionals training, Learni provides the following teaching resources:
For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.
The assessment of skills acquired during the Master Keras for Deep Learning: Practical Training for Professionals training is carried out through:
Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Presentation of key deep learning concepts. Discovery of Keras and its ecosystem (TensorFlow, other frameworks). Installation and getting started with Keras. Basic structures: layers, sequential and functional models. First steps: building a simple multilayer perceptron for classification (MNIST). Best practices for structuring Deep Learning code.
Management of datasets (loading, preprocessing, augmentation). Creating convolutional networks (CNN) for image analysis. Introduction to recurrent networks (RNN, LSTM) for sequences. Model evaluation and validation (cross-validation, metrics, callbacks). Optimization, regularization (dropout, early stopping), hyperparameter tuning, and monitoring with TensorBoard.
Model export and saving (SavedModel, H5 formats). Conversion and portability (TensorFlow Lite, ONNX). Deploying Keras models in APIs (Flask, FastAPI). Managing predictions in production, performance monitoring. Tips and tricks for solving common issues. Complete case study applying all concepts on a real image or text dataset.
Target audience
Developers, data scientists, AI engineers wishing to implement neural networks with Keras
Prerequisites
Good knowledge of Python and basics in machine learning
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