Deep Learning for Beginners in Python: Work On 12+ Projects

 Buy Now
  

Price: 199.99$

Artificial Intelligence and Deep Learning are growing exponentially in today’s world. There is multiple application of AI and Deep Learning like Self Driving Cars, Chatbots, Image Recognition, Virtual Assistance, ALEXA, and so on… With this course, you will understand the complexities of Deep Learning in an easy way, as well as you will have A Complete Understanding of the Googles Tensor Flow 2.0 Framework Tensor Flow 2.0 Framework has amazing features that simplify the Model Development, Maintenance, Processes, and Performance In Tensor Flow 2.0 you can start the coding with Zero Installation, whether you’re an expert or a beginner, in this course you will learn an end-to-end implementation of Deep Learning Algorithms List of the Projects that you will work on, Part 1: Artificial Neural Networks (ANNs)Project 1: Multiclass image classification with ANNProject 2: Binary Data Classification with ANNPart 2: Convolutional Neural Networks (CNNs)Project 3: Object Recognition in Images with CNNProject 4: Binary Image Classification with CNNProject 5: Digit Recognition with CNNProject 6: Breast Cancer Detection with CNNProject 7: Predicting the Bank Customer Satisfaction Project 8: Credit Card Fraud Detection with CNNPart 3: Recurrent Neural Networks (RNNs)Project 9: IMDB Review Classification with RNN – LSTMProject 10: Multiclass Image Classification with RNN – LSTMProject 11: Google Stock Price Prediction with RNN and LSTMPart 4: Transfer Learning Part 5: Natural Language Processing Basics of Natural Language Processing Project 12: Movie Review Classification with NLTKPart 6: Data Analysis and Data Visualization Crash Course on Numpy (Data Analysis)Crash Course on Pandas (Data Analysis)Crash course on Matplotlib (Data Visualization)With this course, you will learn,1) To build the Neural Networks from the scratch2) You will have a complete understanding of  Artificial Neural Networks, Convolutional Neural Networks, and Recurrent Neural Networks3) You will learn to build the neural networks with LSTM and GRU4) Hands-On Transfer Learning5) Learn Natural Language Processing by doing a text classification project6) Improve your skills in Data Analysis with Numpy, Pandas, and Data Visualization with Matplotlib So what are you waiting for, Enroll Now and understand Deep Learning to advance your career and increase your knowledge! Regards, Vijay Gadhave