Advanced data science & ai techniques for experienced professionals looking to level up.
This Course simplifies the advanced Deep Learning concepts like Deep Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Long Short Term Memory (LSTM), Gated Recurrent Units(GRU), etc. TensorFlow, Keras, Google Colab, Real World Projects and Case Studies on topics like Regression and Classification have been described in great detail. Advanced Case studies like Self Driving Cars will be discussed in great detail.
Currently the course has few case studies. The objective is to include at least 20 real world projects soon. Case studies on topics like Object detection will also be included.
TensorFlow and Keras basics and advanced concepts have been discussed in great detail. The ultimate goal of this course is to make the learner able to solve real world problems using deep learning. After completion of this course the Learner shall also be able to pass the Google TensorFlow Certification Examination which is one of the prestigious Certification.
Learner will also get the certificate of completion from Udemy after completing the Course. After taking this course the learner will be expert in following topics. a) Theoretical Deep Learning Concepts.
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