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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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Jul 1, 20268 min readDallas
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Allan BusiNov 1, 20268 min readSheffieldThe Training: Mastering TensorFlow - Getting Started with Artificial Intelligence using TensorFlow 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 TensorFlow - Getting Started with Artificial Intelligence using TensorFlow 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 TensorFlow - Getting Started with Artificial Intelligence using TensorFlow 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.
Overview of Machine Learning, TensorFlow ecosystem, installation and setup of TensorFlow (CPU/GPU), first scripts: tensor manipulation and basic operations. Initiate a project and structure a notebook.
Data loading and preparation (NumPy/Pandas, TF Data), normalization and dataset splitting, initial regressions using the Estimators API, design of a supervised learning pipeline.
Introduction to Keras, building sequential models for classification, cost functions, training loops, overfitting, dropout and regularization, learning curves, and advanced metrics.
Optimizers (SGD, Adam, RMSprop), callbacks and early stopping, model saving and restoration, TensorFlow model debugging, evaluation on real datasets, iterative improvements.
Export and deployment using TensorFlow Serving and Lite, introduction to TensorBoard, model versioning, production best practices and security, case study, and end-of-training mini-project.
12 participants max.
$6,050 / per person
5 days
distancielTarget audience
Developers, engineers, and data scientists wishing to discover and leverage TensorFlow's capabilities in Machine Learning and Deep Learning
Prerequisites
Good knowledge of Python and basic understanding of mathematics and statistics
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