Executive Development Programme in Neural Networks for High-Growth Companies
-- ViewingNowThe Executive Development Programme in Neural Networks for High-Growth Companies is a certificate course designed to empower professionals with the essential skills needed to drive innovation in artificial intelligence (AI) and machine learning (ML). This program is crucial in today's technology-driven world, where neural networks have become a critical component in developing intelligent systems.
4,397+
Students enrolled
GBP £ 140
GBP £ 202
Save 44% with our special offer
ě´ ęłźě ě ëí´
100% ě¨ëźě¸
ě´ëěë íěľ
ęłľě ę°ëĽí ě¸ěŚě
LinkedIn íëĄíě ěśę°
ěëŁęšě§ 2ę°ě
죟 2-3ěę°
ě¸ě ë ěě
ë기 ę¸°ę° ěě
ęłźě ě¸ëśěŹí
⢠Fundamentals of Neural Networks: Understanding the basics of neural networks, including the architecture, components, and functionality. This unit will cover the history and evolution of neural networks, as well as the underlying principles of artificial intelligence and machine learning.
⢠Data Preprocessing for Neural Networks: This unit will focus on the essential data preprocessing techniques for neural networks, including data cleaning, normalization, and transformation. It will also cover feature engineering and selection techniques to optimize the performance of neural networks.
⢠Building Neural Network Models: In this unit, participants will learn how to build neural network models using popular deep learning frameworks such as TensorFlow and PyTorch. The unit will cover various types of neural networks, including feedforward, recurrent, and convolutional neural networks.
⢠Training and Fine-Tuning Neural Network Models: This unit will focus on training and fine-tuning neural network models, including hyperparameter tuning and optimization techniques. It will also cover the challenges of overfitting, underfitting, and vanishing gradients, and the strategies to address them.
⢠Evaluating Neural Network Models: In this unit, participants will learn how to evaluate the performance of neural network models using various metrics and techniques. The unit will cover the importance of cross-validation, A/B testing, and statistical significance testing in evaluating neural network models.
⢠Deploying Neural Network Models in High-Growth Companies: This unit will focus on the practical considerations of deploying neural network models in high-growth companies, including infrastructure, security, and scalability. It will also cover the ethical and legal considerations of deploying AI systems in businesses.
⢠Emerging Trends in Neural Networks: This unit will cover the latest trends and advancements in neural networks, including reinforcement learning, transfer learning, and few-shot learning. It will also cover the potential applications of neural networks in various industries.
ę˛˝ë Ľ 경ëĄ
ě í ěęą´
- 죟ě ě ëí 기본 ě´í´
- ěě´ ě¸ě´ ëĽěë
- ěť´í¨í° ë° ě¸í°ëˇ ě ꡟ
- 기본 ěť´í¨í° 기ě
- ęłźě ěëŁě ëí íě
ěŹě ęłľě ěę˛Šě´ íěíě§ ěěľëë¤. ě ꡟěąě ěí´ ě¤ęłë ęłźě .
ęłźě ěí
ě´ ęłźě ě ę˛˝ë Ľ ę°ë°ě ěí ě¤ěŠě ě¸ ě§ěęłź 기ě ě ě ęłľíŠëë¤. ꡸ę˛ě:
- ě¸ě ë°ě 기ę´ě ěí´ ě¸ěŚëě§ ěě
- ęśíě´ ěë 기ę´ě ěí´ ęˇě ëě§ ěě
- ęłľě ě겊ě ëł´ěě
ęłźě ě ěąęłľě ěźëĄ ěëŁí늴 ěëŁ ě¸ěŚě뼟 ë°ę˛ ëŠëë¤.
ě ěŹëë¤ě´ ę˛˝ë Ľě ěí´ ě°ëŚŹëĽź ě ííëę°
댏롰 ëĄëŠ ě¤...
ě죟 돝ë ě§ëŹ¸
ě˝ě¤ ěę°ëŁ
- 죟 3-4ěę°
- 쥰기 ě¸ěŚě ë°°ěĄ
- ę°ë°Ší ëąëĄ - ě¸ě ë ě§ ěě
- 죟 2-3ěę°
- ě 기 ě¸ěŚě ë°°ěĄ
- ę°ë°Ší ëąëĄ - ě¸ě ë ě§ ěě
- ě 체 ě˝ě¤ ě ꡟ
- ëě§í¸ ě¸ěŚě
- ě˝ě¤ ěëŁ
ęłźě ě ëł´ ë°ę¸°
íěŹëĄ ě§ëś
ě´ ęłźě ě ëšěŠě ě§ëśí기 ěí´ íěŹëĽź ěí ě˛ęľŹě뼟 ěě˛íě¸ě.
ě˛ęľŹěëĄ ę˛°ě ę˛˝ë Ľ ě¸ěŚě íë
