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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.
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The Training: Mastering Keras for Deep Learning in Enterprise: From Initiation to Practical Applications 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 Training: Mastering Keras for Deep Learning in Enterprise: From Initiation to Practical Applications 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 Training: Mastering Keras for Deep Learning in Enterprise: From Initiation to Practical Applications 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.
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Overview of deep learning; enterprise use cases; presentation of Keras and its positioning in the TensorFlow ecosystem; installation, getting started with the API, building first simple sequential networks. Introduction to dataset management, first practical experiments.
Network architectures (MLP, CNN, RNN); choice of activation and loss functions; overfitting management; regularization techniques (dropout, batch normalization), useful callbacks in Keras, hyperparameter optimization; integration of monitoring tools (TensorBoard) and code best practices.
Implementation of real-world cases (images, texts, time series) for classification and regression; performance evaluation (confusion matrix, ROC/AUC curves, specific metrics); export and deployment of Keras models (REST API, SavedModel format), introduction to cloud and production in a professional context.
Target audience
Developers, data scientists, engineers, or IT professionals wishing to integrate deep learning solutions into their enterprise projects.
Prerequisites
Python basics and fundamental knowledge of linear algebra and statistics
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