How to maintain remember (inside) Lazy Column, and not being destroyed after scroll back. Well,, why I created story about Android? because this is who I am! Android and ML Engineer. Remember I will explain a little bit about remember. i hope this will help you. Simple, if you have a…

Long time no write stories.. A lot of stories i wanna tell about my journey in Machine Learning in past 2 years. And i wanna start with the Machine i created for Recommender System in Vidio recently (the company i work at). Ys-Mean Recommender System. …

If the Sequence is matter, then LSTM is good for your Machine Learning Layer. The Purpose of Recurrent neural network (RNN) When we want to Predict sequential series of data. For examples sentences, cryptocurrency or stock. We can train the datasets using RNN. LSTM on RNN And then the layer that used to RNN training usually we use LSTM. What is LSTM We…

Understanding the weights calculation with dot product and biases behind of Deep Learning — Weight First of all if you use Keras as library, Keras provides some random weights. These weights will be the multiplied by features given from training parameter. And sum all the results. The value of the weight will be optimized during training process, with optimizer, depends on the result of each…

Over Fitting When is it happened? When the delta from your Train Accuracy and Test Accuracy is too much. When Test Accuracy value is larger than Train Accuracy Why is it Happened? Usually overfitting occurs when you have too much Layer or too much training for your model. How can we reduce OverFitting? Making more simple training model, like remove some layer. Or use DropOut. Make Augmentation from our current dataset. (do pivot, flip or resizing)

It looks easy when you read the tutorial about convert model, with 2 lines of codes. converter=tf.lite.TFLiteConverter.from_saved_model(saved_model_dir) tflite_model=converter.convert() Yes it works, but in some conditions. Three things that you must know about TFLite Converter before you use the converter: 1. Consider the Supported types At that article, we know that TFLite converter doesn’t support string and float16, at least not yet.

Step by Step to Train your own Image Dataset for Deep Learning Using Tensorflow Actually there is an easiest way to train you own Image. You can use Firebase Machine Learning. You only have to upload your images and define the labels. …

Yesterday, NVIDIA has released a new series for RTX… 3090. We know that GPU makes training process for machine learning faster than use CPU. Because GPU consists of hundreds of core. did you know, Nvidia is using 10,496 CUDA cores on the RTX 3090. WOW!!! it’s not hundreds man!!! I cannot imagine how fast my train execution with this machine. Actually i don’t have this stuff yet, not yet released on my country :(

If you want to train your data set, then at least you must know these 3 Layers. Layers Dense Layer We called this “the most well-known type of the Layer”. You can use this layer if you want to adding more Layer because your model need to more memorize some values. Too much…