## TensorFlow 1.0 Complete Tutorial in Telugu

I am explaining about TensorFlow in Deep Learning. From Basics to Advance i.e. From NumPy Basics to GAN explaining in this video.

We are using Two Datasets in Coding Parts. The links are

1. Student Dataset File:- https://www.mediafire.com/file/pjaqjuyix4wkd80/students.csv/file

2. Data CSV File:- http://www.mediafire.com/file/fhjy7zn7w2lzeqz/data.csv/file

Student Dataset File using in the Pandas and Data CSV file using in Polynomial Regression. After Watching this Entire video, You should maintain some Clarity about these terms in Tensorflow or other Deep Learning Parts.

Important Terminologies you should definite know while watching the videos :

NumPy, Pandas, Matplotlib, SciKit Learn, Regression (Linear Regression), Polynomial Regression, Bias, Variance, Back Propagation, epoch, iterations, How the Weights updated, Overfitting and Underfitting, Batch Size, Reshape, Activation Functions, Relu, Sigmoid, tanh, SoftMax activation function, Tensorflow Variables, loc vs iloc, Truncated normal vs Random Normal, MNIST Dataset Parts, Convolutional Neural Network(CNN) explanation and Coding Parts, Recurrent Neural Network Explanation and coding parts, TensorFlow Estimator API and Finally Generative Adversarial Network(GAN), Autoencoders, Artificial Neural Network(ANN).

ANN VS CNN VS RNN VS GAN :- ANN mainly implemented these two parts 1. Regression 2.Classifications. Regression is generally mostly used this algorithm in Linear Data problems in case of Non-linear Data Problems Polynomial Regression used. I am not talking about Classification Coding part etc.

mages Classifications related Problems CNN (Convolutional Neural Network) Algorithm are using. Time series data Problems, Stock Market Future Predictions, etc. Anything For future Predictions RNN(Recurrent Neural Network) is being used. For Generating New Images GAN (Generative Adversarial Network) used. In the case of AI Games, Reinforcement Algorithm used but I am not talking about that Part in this video. Keras and Coding Part As soon as possible I will upload it in the Future.

Video Link :-

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