Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

Colleagues, in the “Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization” program you will learn the best practices to train and develop test sets and analyze bias/variance for building deep learning applications; be able to use standard neural network techniques such as initialization, L2 and dropout regularization, hyperparameter tuning, batch normalization, and gradient checking; implement and apply a variety of optimization algorithms, such as mini-batch gradient descent, Momentum, RMSprop and Adam, and check for their convergence; and implement a neural network in TensorFlow. Gain high-demand skills in Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Model Optimization, Deep Learning, Machine Learning Methods, Artificial Neural Networks, Model Training, Debugging, Model Evaluation, Verification And Validation, and Applied Machine Learning.

Training modules include: 1) Practical Aspects of Deep Learning: Discover and experiment with a variety of different initialization methods, apply L2 regularization and dropout to avoid model overfitting, then apply gradient checking to identify errors in a fraud detection model, 2) Optimization Algorithms: Develop your deep learning toolbox by adding more advanced optimizations, random minibatching, and learning rate decay scheduling to speed up your models, and 3) HyperparameterTuning, Batch Normalization and Processing: Explore TensorFlow, a deep learning framework that allows you to build neural networks quickly and easily, then train a neural network on a TensorFlow dataset.

Enroll today (teams and executives are welcome): https://imp.i384100.net/LKZ95a 

Recommended Reading:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

2 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) (Kindle)

3 - “The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age” (Audible) (Kindle)

Much success in your AI career, AI Academy (please subscribe and share with you colleagues)