Deep Learning with Python Training

This Deep Learning with Python training can help you learn the following skills:

• Grasp everything related to applications of RNN, including human activity recognition, image captioning, machine translation, speech recognition, and more.
• Comprehend the basics of Deep Neural networks (DNN) and learn neurons and perception.
• Get introduced to RNN architecture, including fixed length memory model, infinite memory architecture, and more.
• Find out the basic and advanced aspects of gradient descent in RNN with an example setup.
• Familiarize yourself with how to vanish gradients in RNN and know about gated recurrent units, long short-term memory, and more.
• Know how to classify TensorFlow text with the help of RNNs.
• Learn everything about data mapping, modeling RNN architecture, modeling RNN model in TensorFlow, and more.
• Understand stock price prediction, problem statement, dataset, RNN model training and evaluation, and data preparation.

• The value of the global deep learning market is expected to reach $117 billion by the end of 2027; thereby, noticing a CAGR growth of almost 39%.
• As of 2020, a certified Data Scientist earns an average annual salary of $120,000.
• Plenty of well-established companies, such as Amazon, Flipkart, Tesla, Netflix, and more are making the most out of deep learning with Python.

To take part in this Deep Learning with Python online training, you must have a basic understanding of programming and computers. 

This Deep Learning with Python online training is for those who wish to improve their data-driven communication. It is also for those people who want to learn RNNs with real-world datasets in data science. Also, those who are interested in programming and numbers can also take part in this course.